WEBVTT - Ep84 "Why do brains love music?"

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<v Speaker 1>How can we understand what music is about from the

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<v Speaker 1>point of view of neuroscience. Can music be leveraged to

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<v Speaker 1>help with anxiety disorders, or with dementia or with Parkinson's disease?

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<v Speaker 1>Is music universal or does it have to do with

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<v Speaker 1>what you have absorbed in your lifetime? How is music

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<v Speaker 1>like a language but one with very particular structure and

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<v Speaker 1>therefore high predictability. And what does this have to do

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<v Speaker 1>with Stevie Wonder on the High Hat or the relationship

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<v Speaker 1>between music and color. Welcome to Inner Cosmos with me

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<v Speaker 1>David Eagleman. I'm a neuroscientist and an author at Stanford

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<v Speaker 1>and in these episodes we sail deeply into our three

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<v Speaker 1>pound universe to understand why and how our lives look

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<v Speaker 1>the way they do. Today's episode is about music and

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<v Speaker 1>the brain, and this is a topic that has been

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<v Speaker 1>requested by several different listeners, so I prioritized making this episode. Music.

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<v Speaker 1>I suspect is a popular topic because music can be

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<v Speaker 1>so emotive for us and so catchy and so meaningful.

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<v Speaker 1>My father, for example, who was the quintessential tough guy

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<v Speaker 1>when he would listen to Mozart or Brahms or Beethoven,

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<v Speaker 1>he would have tears streaming down his cheeks. And as

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<v Speaker 1>a child, I didn't have much understanding of classical music,

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<v Speaker 1>but that really caused me to wonder, what is going

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<v Speaker 1>on here? Why does this music wafting out of the

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<v Speaker 1>radio evoke such strong emotions and perhaps such deep memories

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<v Speaker 1>in my father? And as I got older and became

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<v Speaker 1>a neuroscientist, I wondered, is there something you unique in

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<v Speaker 1>the structure of the human brain that ties music so

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<v Speaker 1>closely with our emotional experiences? So I decided to do

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<v Speaker 1>an episode on this today, and I realized there was

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<v Speaker 1>no one better to ring up than my friend and colleague,

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<v Speaker 1>Daniel Leviton. He's the founding Dean of Arts and Humanities

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<v Speaker 1>at Minerva University in San Francisco and a professor emeritus

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<v Speaker 1>of psychology and neuroscience at McGill University in Montreal. You

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<v Speaker 1>may know Dan because he wrote a book called This

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<v Speaker 1>Is Your Brain on music, the Science of a Human Obsession,

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<v Speaker 1>which became a big New York Times bestseller, and he's

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<v Speaker 1>also written four other best selling books, including his latest,

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<v Speaker 1>which is called I Heard There Was a Secret Chord.

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<v Speaker 1>Music as Medicine. Now, as you may suspect. Dan is

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<v Speaker 1>also a very talented musician. He composes music and he's

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<v Speaker 1>worked on albums by Blue Oyster Cult and Chris Isaac

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<v Speaker 1>and Joe Satriani, among many others. He does this as

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<v Speaker 1>an advisory producer a recording engineer. So given his expertise,

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<v Speaker 1>I wanted to sit down with Dan to get his

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<v Speaker 1>take on music and the brain. Okay, Dan, what goes

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<v Speaker 1>on in the brain when you listen to music?

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<v Speaker 2>Yeah, well, it really is quite fascinating. So it begins

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<v Speaker 2>with the sound waves impinging on your ear drums. They

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<v Speaker 2>wiggle in and out, and all the information you have

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<v Speaker 2>about the auditory world comes from molecules vibrating in some medium,

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<v Speaker 2>in our case air, it could be underwater, and then

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<v Speaker 2>your ear drums just wiggle in and out, and then

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<v Speaker 2>your brain has to take that wiggling in and out

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<v Speaker 2>and extract from it all the different sounds a bird chirping,

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<v Speaker 2>a leaf blower going, the oboe in the symphony as

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<v Speaker 2>opposed to the French horns in a crowded room, the

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<v Speaker 2>conversation you're trying to listen to in front of you,

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<v Speaker 2>as well as that when you're eavesdropping in. It has

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<v Speaker 2>to separate all that out. And the way it does

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<v Speaker 2>that is that your brain has special processing circuits. I

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<v Speaker 2>was going to use the word designed, but of course

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<v Speaker 2>they weren't designed, but evolved to do different distinct functions.

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<v Speaker 2>One circuit processes the loudness is anything louder, is it

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<v Speaker 2>getting softer? And it follows that loudness trajectory, which can

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<v Speaker 2>be an important cue as.

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<v Speaker 3>To what's going on. Pitch duration.

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<v Speaker 2>The pitches get in a separate circuit, bound into a

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<v Speaker 2>representation of melody and harmony, the durations into a representation

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<v Speaker 2>of rhythm and meter, the loudness into accent structure, timbre,

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<v Speaker 2>which is the quality that distinguishes your voice from my

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<v Speaker 2>voice when we're saying the same thing, or a trumpet

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<v Speaker 2>from a piano when they're playing the same note. That's

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<v Speaker 2>a combination of spectral temporal information, in other words, pitch

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<v Speaker 2>and time and loudness. It all comes together later in

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<v Speaker 2>the brain and you just hear that song where later

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<v Speaker 2>in the brain is maybe forty milliseconds. It happens so

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<v Speaker 2>seamlessly that it just sounds like we're hearing the song,

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<v Speaker 2>but we're not. Our brain is hearing the pitch, the rhythm,

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<v Speaker 2>the loudness, the timber, and our evidence, David, that this

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<v Speaker 2>happens is not just from neuroimaging, but from patients. We

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<v Speaker 2>see patients with focal brain damage who suddenly lose their

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<v Speaker 2>perception of pitch, but they retain rhythm or vice versa.

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<v Speaker 1>Okay, so it's this terrifically complicated computational process. So why

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<v Speaker 1>does it end up feeling so emotional for us?

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<v Speaker 3>Well?

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<v Speaker 2>So I think there are both neurobiological reasons and evolutionary

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<v Speaker 2>reasons that are connected. Of course, the simple answer is

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<v Speaker 2>it's emotional for us because emotion circuits in the brain

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<v Speaker 2>are involved in music processing. And by that I mean,

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<v Speaker 2>among others, the well known reward center that you and

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<v Speaker 2>I have talked about in our own classes over the

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<v Speaker 2>years and with one another, the limbic system, the structures

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<v Speaker 2>like the nucleus of Cumban's, the amygdala, the ventral tegmental area.

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<v Speaker 2>This is the emotional core part of the reptilian brain

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<v Speaker 2>that you know motivates us to move out of the

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<v Speaker 2>way of some approaching danger or to signal pleasure when

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<v Speaker 2>we're hungry and we finally get a taste of something sweet.

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<v Speaker 2>Music activates that same center, and in fact, it was

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<v Speaker 2>my lab that was the first to show that our

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<v Speaker 2>brain produces dopamine in response to music listening, and later

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<v Speaker 2>we showed that our brain produces its own endogenous opioids

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<v Speaker 2>in response to music listening, all part of that well

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<v Speaker 2>known pleasure network. Now, of course, that raises the question

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<v Speaker 2>why why is you know, over ever solutionary timescals did

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<v Speaker 2>music hit that emotional center and hear The answer is

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<v Speaker 2>by fer Kate. One is that the well known startle response.

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<v Speaker 2>You hear a sudden, loud noise and you jump. That's

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<v Speaker 2>evolutionarily adaptive because you know, you know, even lizards, snakes,

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<v Speaker 2>reptiles have to move out of the way of something

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<v Speaker 2>that might step on them or smash them. And that

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<v Speaker 2>startle response in humans goes directly from the inner ear

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<v Speaker 2>to the cerebellum and the brain stem. Before we even

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<v Speaker 2>figure out what the sound is, we startle and that's

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<v Speaker 2>connected to emotion centers. And so music, because it's an

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<v Speaker 2>auditory stimulus, is hardwired to movement and to emotion.

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<v Speaker 1>So what happens in the brain when you play an instrument.

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<v Speaker 2>Playing instrument is one of the most neuroprotective things we

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<v Speaker 2>can do. Glistening activates every area of the brain that

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<v Speaker 2>we so far mapped, as does playing an instrument. But

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<v Speaker 2>the added advantage of playing an instrument is that it's

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<v Speaker 2>active rather than passive, and it involves prediction centers in

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<v Speaker 2>the prefrontal cortex, particularly broad An area forty seven, which

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<v Speaker 2>is a pattern detector. You know, Venode, Menna and I

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<v Speaker 2>at Stanford for thirty years have been looking at this

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<v Speaker 2>little sliver of tissue on either side of your between

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<v Speaker 2>your top of your ears and your eyeballs broad and

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<v Speaker 2>forty seven, and Michael Patritus and I at mcgil have

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<v Speaker 2>also looked at it as that part of the human

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<v Speaker 2>brain that primates lack that allows us to process temporal patterns,

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<v Speaker 2>either in vision, touch or sound. And so in playing

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<v Speaker 2>an instrument, you've got to plan what you want it

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<v Speaker 2>to sound like. Hopefully you've got some idea of what

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<v Speaker 2>you want to come out, and then you've got to

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<v Speaker 2>use a feedback loop to listen to what came out

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<v Speaker 2>and see how well it matches with what you intended

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<v Speaker 2>and that adjust or not. And Broaden forty seven is

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<v Speaker 2>a part of that, as well as other prefrontal areas

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<v Speaker 2>and temporal areas.

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<v Speaker 1>Before we move on some other questions, I want to

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<v Speaker 1>ask what got you into this intersection between music and

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<v Speaker 1>the brain.

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<v Speaker 3>It wasn't intentional.

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<v Speaker 2>I had dropped out of college after my sophomore year

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<v Speaker 2>to play in a series of bands, and that led

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<v Speaker 2>to me becoming a staff producer at Columbia Records in

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<v Speaker 2>the eighties and in the nineties, when the music business

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<v Speaker 2>seemed to be imploding, a bunch of us who had

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<v Speaker 2>entered the business around the same time, figured we needed

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<v Speaker 2>a plan B, that this may not be a sustainable career,

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<v Speaker 2>and so I went back and finished my bachelor's degree

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<v Speaker 2>at Stanford. I just worked in every lab that would

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<v Speaker 2>have me. Then I went to graduate school and Oregon

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<v Speaker 2>in order to work with Doug Hintsman and Helen Neville

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<v Speaker 2>a language specialist, and of course Mike Posner on neuroimaging.

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<v Speaker 2>And I was just doing all these things in parallel

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<v Speaker 2>and loving it. I mentioned all these names because they

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<v Speaker 2>were very important mentors to me, each of them. And

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<v Speaker 2>in the third year of my graduate program, Posner, who

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<v Speaker 2>was my principal advisor, said, you know you're gonna have

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<v Speaker 2>to specialize. What do you want to do when you

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<v Speaker 2>grow up. I said, well, I really love all of this.

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<v Speaker 2>I love psycholinguistics, I love memory, I love decision making,

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<v Speaker 2>and I had worked in all those areas. And he said, well,

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<v Speaker 2>you know, you have this background as a musician, and

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<v Speaker 2>there's a lot of competition for jobs in those other fields.

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<v Speaker 2>There's this emerging field of psychology of music with a

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<v Speaker 2>handful of people in it. Maybe if you go into

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<v Speaker 2>that field, there'll be a lot of low hanging fruit,

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<v Speaker 2>as it were, a lot of studies that have obviously

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<v Speaker 2>need to be done that haven't been done yet. And

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<v Speaker 2>in addition, although nobody's going to advertise for a music

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<v Speaker 2>psychology faculty member, all those other things apply to music psychology,

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<v Speaker 2>decision making, how do we decide what we want to

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<v Speaker 2>listen to? Cyclel linguistics, psychology of lyrics and music, individual

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<v Speaker 2>differences in musical taste, memory for music. So it was

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<v Speaker 2>Mike who said preciently that I should brand myself as

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<v Speaker 2>a music psychologist. Of course, back in those days, there

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<v Speaker 2>were no neuroscience departments, there were no neuroscience programs. You

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<v Speaker 2>could not study neuroscience as you and I know it.

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<v Speaker 2>And I'll make a distinction for our listeners between like

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<v Speaker 2>molecular neuroscience, which was done in biology departments where you

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<v Speaker 2>only look at a single neuron and you've never even

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<v Speaker 2>considered what a thought might be and what we call you.

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<v Speaker 2>And I work in the area systems neuroscience, where we're

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<v Speaker 2>looking at the big ideas andions of neurons communicate with

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<v Speaker 2>other millions in neurons.

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<v Speaker 1>I know that you feel like that the music psychology

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<v Speaker 1>world was not particularly good let's say twenty years ago,

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<v Speaker 1>so give us a sense of what it was like

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<v Speaker 1>at that point when people thought about I'm going to

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<v Speaker 1>study the psychology music and what it's like now and

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<v Speaker 1>what's changed.

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<v Speaker 2>And there were a bunch of other people who hadn't

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<v Speaker 2>studied cognitive psychology but fancy themselves music psychologists, and they

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<v Speaker 2>did a bunch of bad studies, the poster child for

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<v Speaker 2>that being the Mozart effect study, which purported to show

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<v Speaker 2>that listening to Mozart for twenty minutes would make you smarter.

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<v Speaker 2>And there have now been literally one hundred studies that

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<v Speaker 2>shows that that was just bullshit. It was a poorly

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<v Speaker 2>controlled study, It was done by people who had no

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<v Speaker 2>experience in human experimental design. They stepped outside their lane,

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<v Speaker 2>and so there was a lot of garbage work being done.

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<v Speaker 2>What's different now is that we've had twenty years of

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<v Speaker 2>people applying to graduate school who knew they wanted to

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<v Speaker 2>study music psychology. Some of them went into music psychologists'

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<v Speaker 2>labs like mine. Others did what I did. They went

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<v Speaker 2>into the lab of a memory person or an attention

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<v Speaker 2>or brain imaging person and just used that interest in

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<v Speaker 2>music to design studies.

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<v Speaker 1>And so what sort of things have come out in

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<v Speaker 1>the last twenty years. Part of this has to do

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<v Speaker 1>with the advent of neuroimaging, right.

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<v Speaker 2>Well, that really, that really is what kicked it off, because,

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<v Speaker 2>as you know, David, the study of emotion was rather unseemly.

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<v Speaker 2>I think it began with the foundation of the first

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<v Speaker 2>psychology labs in the world by Vuntenfeckner in Europe. Of course,

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<v Speaker 2>William James was always more interested in the esthetics and

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<v Speaker 2>artistics side, but it was the behaviorist movement of the

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<v Speaker 2>fifties led by BF Skinner, that if something wasn't deservable

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<v Speaker 2>and replicable, it wasn't worth study. And so emotions just

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<v Speaker 2>seemed too squishy, and music as the language of emotion

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<v Speaker 2>seemed like the squishiest of all. What happened with the

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<v Speaker 2>first studies of neuroimaging, which Mike Posner was part of

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<v Speaker 2>nineteen ninety eight ninety nine. We were able to actually

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<v Speaker 2>see pictures of the brain caught in the act of

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<v Speaker 2>thinking and remembering and imagining, and that gave it a

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<v Speaker 2>biological basis reality. You could replicate brain imaging experiments, and

0:14:36.760 --> 0:14:41.160
<v Speaker 2>so first the study of emotion, and then shortly followed

0:14:41.160 --> 0:14:43.480
<v Speaker 2>by the study of music with the first neu imaging

0:14:44.160 --> 0:14:48.080
<v Speaker 2>studies of music in the early two thousands, that put

0:14:48.080 --> 0:14:51.200
<v Speaker 2>it back on the table as something that was worthy

0:14:51.240 --> 0:14:54.000
<v Speaker 2>of study and could be done in a rigorous fashion.

0:14:54.720 --> 0:14:57.600
<v Speaker 1>So your latest book, I heard, There was a Secret Chord,

0:14:58.360 --> 0:15:02.040
<v Speaker 1>looks at this issue of muse musick as medicine. So

0:15:02.040 --> 0:15:03.760
<v Speaker 1>tell us about that.

0:15:03.760 --> 0:15:09.400
<v Speaker 2>That's something that I think most of us have experienced intuitively, certainly,

0:15:09.400 --> 0:15:12.400
<v Speaker 2>it goes back tens of thousands of years using music

0:15:12.480 --> 0:15:16.640
<v Speaker 2>to treat injury and disease to shamans and faith healers

0:15:16.720 --> 0:15:21.680
<v Speaker 2>and indigenous tribes. And it was really in the last

0:15:21.840 --> 0:15:26.720
<v Speaker 2>ten years. I would say that the idea that music

0:15:27.720 --> 0:15:33.440
<v Speaker 2>had an evidence base for treating injury disease promoting wellness,

0:15:34.120 --> 0:15:38.320
<v Speaker 2>helping with mental disorders like depression, post traumatic stress disorder, anxiety.

0:15:38.880 --> 0:15:42.440
<v Speaker 2>There's been eight thousand papers in the last two years

0:15:42.440 --> 0:15:45.800
<v Speaker 2>alone in peer review journals on medical applications of music,

0:15:46.320 --> 0:15:51.640
<v Speaker 2>and so about five years ago I became involved with

0:15:51.720 --> 0:15:54.800
<v Speaker 2>the National Institutes of Health and the White House Science Office,

0:15:55.320 --> 0:16:01.280
<v Speaker 2>leading various expert panels to figure out what do we

0:16:01.320 --> 0:16:02.960
<v Speaker 2>really know and what do we don't know and what

0:16:03.040 --> 0:16:06.080
<v Speaker 2>remains to be done. That led to a call for proposals.

0:16:06.120 --> 0:16:09.600
<v Speaker 2>The NIH put forty million into music and medicine research

0:16:10.320 --> 0:16:12.440
<v Speaker 2>a few years back. So I looked for a book

0:16:12.520 --> 0:16:14.560
<v Speaker 2>on music and medicine because I wanted to know what

0:16:14.640 --> 0:16:17.880
<v Speaker 2>the state of the art was, and I couldn't find one.

0:16:18.320 --> 0:16:20.560
<v Speaker 2>There were a lot of papers, but no books, and

0:16:20.640 --> 0:16:22.680
<v Speaker 2>so I ended up writing the book I wanted.

0:16:22.440 --> 0:16:25.040
<v Speaker 1>To read and so give us a sense when it

0:16:25.080 --> 0:16:29.640
<v Speaker 1>comes to something like, let's start with dementia, how would

0:16:29.720 --> 0:16:33.600
<v Speaker 1>music be useful in the case of something like Alzheimer's.

0:16:34.200 --> 0:16:37.480
<v Speaker 2>Not all dementia is Alzheimer's, of course, and not all

0:16:37.520 --> 0:16:42.360
<v Speaker 2>memory loss comes from Alzheimer's. But the most straightforward case

0:16:42.400 --> 0:16:46.240
<v Speaker 2>of somebody with profound memory loss, perhaps due to Alzheimer's,

0:16:46.280 --> 0:16:51.320
<v Speaker 2>Corsokov's stroke, whatever. They may not recognize where they are,

0:16:52.800 --> 0:16:55.680
<v Speaker 2>They may not recognize loved ones. They may not even

0:16:55.720 --> 0:17:01.400
<v Speaker 2>recognize themselves in the mirror. This is profoundly We've seen

0:17:01.480 --> 0:17:04.400
<v Speaker 2>patients who will walk by a mirror and think they're

0:17:04.480 --> 0:17:07.359
<v Speaker 2>talking to someone else, and then they get angry because

0:17:07.359 --> 0:17:09.360
<v Speaker 2>the person in the mirror appears to be mocking them

0:17:09.840 --> 0:17:14.200
<v Speaker 2>by gesturing the same way they are, and it causes

0:17:14.680 --> 0:17:19.760
<v Speaker 2>one of two reactions. Individuals either turn in on themselves,

0:17:19.800 --> 0:17:22.679
<v Speaker 2>fold in on unsells because the external world makes no

0:17:22.840 --> 0:17:29.080
<v Speaker 2>sense and they become somewhat catatonic, or they become angry, agitated,

0:17:29.119 --> 0:17:32.720
<v Speaker 2>and violent and in that case have to be medicated.

0:17:32.920 --> 0:17:36.600
<v Speaker 2>They might start beating up on their spouses, not recognizing them.

0:17:37.119 --> 0:17:43.200
<v Speaker 2>Music follows a kind of principle that computer science talks about,

0:17:43.240 --> 0:17:45.360
<v Speaker 2>which is first in, last out.

0:17:45.600 --> 0:17:48.200
<v Speaker 3>This is a holder for the old models of computer memory.

0:17:48.600 --> 0:17:50.600
<v Speaker 2>The first thing that goes into the memory is the

0:17:50.680 --> 0:17:54.000
<v Speaker 2>last thing to come out. And because we've been listening

0:17:54.040 --> 0:17:57.200
<v Speaker 2>to music in the womb most of us and through

0:17:57.240 --> 0:18:01.639
<v Speaker 2>our childhoods, those memories the most deeply embedded in the

0:18:01.680 --> 0:18:06.720
<v Speaker 2>brain and the most resilient and resistant to decay or damage.

0:18:06.760 --> 0:18:10.080
<v Speaker 2>And so if we play music from the youth of

0:18:10.119 --> 0:18:14.520
<v Speaker 2>an Alzheimer's patient, somebody with profound memory loss, play the

0:18:14.600 --> 0:18:17.040
<v Speaker 2>music from say the ages of twelve to fourteen or

0:18:17.080 --> 0:18:22.520
<v Speaker 2>sixteen that's preserved in most cases, and it allows them

0:18:22.920 --> 0:18:29.040
<v Speaker 2>to profoundly reconnect with a part of themselves they had lost.

0:18:29.720 --> 0:18:35.040
<v Speaker 2>It eases them, it comforts them, It triggers memories that

0:18:35.240 --> 0:18:39.560
<v Speaker 2>had been buried, and that kind of therapy or intervention

0:18:40.359 --> 0:18:43.600
<v Speaker 2>can pull them out of the state they're in and

0:18:43.720 --> 0:18:47.320
<v Speaker 2>actually have consequences for days or weeks where they come

0:18:47.359 --> 0:18:48.000
<v Speaker 2>alive again.

0:18:49.920 --> 0:18:55.399
<v Speaker 1>It doesn't cure or help the dementia the cognitive loss exactly,

0:18:55.600 --> 0:19:00.440
<v Speaker 1>but it triggers memories and pulls them back to state

0:19:01.359 --> 0:19:06.159
<v Speaker 1>where they've been. And it can also revivify skills that

0:19:06.200 --> 0:19:11.400
<v Speaker 1>someone has. For example, musicians with profound dementia who get

0:19:11.440 --> 0:19:14.119
<v Speaker 1>an instrument put in their hand and they go and

0:19:14.880 --> 0:19:16.880
<v Speaker 1>play again as though they're young.

0:19:17.640 --> 0:19:20.480
<v Speaker 2>It's really extraordinary. And we saw this play out in

0:19:20.520 --> 0:19:24.640
<v Speaker 2>recent years with Glenn Campbell first and then with Tony Bennett,

0:19:25.359 --> 0:19:28.359
<v Speaker 2>both of whom had profound memory loss and did not

0:19:28.520 --> 0:19:31.399
<v Speaker 2>know where they were. When Glenn did his final tour

0:19:32.640 --> 0:19:37.360
<v Speaker 2>with dementia and in the throes of Alzheimer's. He would

0:19:37.400 --> 0:19:39.520
<v Speaker 2>sometimes play a song two or three times in a

0:19:39.600 --> 0:19:41.560
<v Speaker 2>row because they didn't realize he had just played it,

0:19:42.160 --> 0:19:44.520
<v Speaker 2>or he'd forget what song he was supposed to play.

0:19:44.560 --> 0:19:47.199
<v Speaker 2>But once the notes, the first few notes happened, he

0:19:47.240 --> 0:19:50.440
<v Speaker 2>knew where he was. Say, with Tony Bennett, he could

0:19:50.480 --> 0:19:53.480
<v Speaker 2>sing for an hour and a half without stopping once

0:19:53.520 --> 0:19:57.400
<v Speaker 2>the music took over. These are what we cognitive scientists

0:19:58.160 --> 0:20:02.919
<v Speaker 2>call overlearned. They're not just in memory, but they're in

0:20:03.000 --> 0:20:06.400
<v Speaker 2>memory with thousands and thousands of traces overlaid on top

0:20:06.440 --> 0:20:10.119
<v Speaker 2>of one another and their procedural memory. Once your vocal

0:20:10.160 --> 0:20:13.560
<v Speaker 2>cords and your fingers get going, they kind of take over. Now,

0:20:13.600 --> 0:20:16.280
<v Speaker 2>to be clear, the memory is not in your fingers,

0:20:16.359 --> 0:20:18.679
<v Speaker 2>although it feels that way. If I were to scoop

0:20:18.720 --> 0:20:21.080
<v Speaker 2>your brain outside your head, your fingers would not keep

0:20:21.080 --> 0:20:23.639
<v Speaker 2>playing like a chicken with its head cut off. But

0:20:24.160 --> 0:20:29.560
<v Speaker 2>those pathways are so profoundly deeply embedded that yeah, you

0:20:29.600 --> 0:20:32.520
<v Speaker 2>can keep going even with Alzheimer's, and it gives the

0:20:32.600 --> 0:20:38.240
<v Speaker 2>patient a rare act of competence in a world in

0:20:38.280 --> 0:20:43.119
<v Speaker 2>which they're otherwise incompetent. It gives them agency in the world.

0:20:43.840 --> 0:20:47.919
<v Speaker 2>This can really affect their mood and their quality of

0:20:47.920 --> 0:20:49.399
<v Speaker 2>life and way of being in the world.

0:21:04.920 --> 0:21:06.359
<v Speaker 1>Now, one of the things I've talked about on in

0:21:06.440 --> 0:21:09.919
<v Speaker 1>previous episode is right Bo's law, which is where older

0:21:09.960 --> 0:21:13.600
<v Speaker 1>memories are more secure, they're burned down more deeply than

0:21:13.840 --> 0:21:16.119
<v Speaker 1>newer memories. And of course we see this with people

0:21:16.160 --> 0:21:16.919
<v Speaker 1>with cogno.

0:21:17.040 --> 0:21:18.800
<v Speaker 2>I thought you were going with Bow's law, like the

0:21:18.840 --> 0:21:23.879
<v Speaker 2>bow on a violin, the earliest violin pieces are the

0:21:23.880 --> 0:21:25.639
<v Speaker 2>ones that are the most embedded.

0:21:25.960 --> 0:21:30.800
<v Speaker 1>Yeah, nope, Riebo Ribot, Yeah, which is you know, he

0:21:30.920 --> 0:21:32.760
<v Speaker 1>was the first I think this is actually the first

0:21:32.840 --> 0:21:35.160
<v Speaker 1>rule in neurology, as in the oldest rule.

0:21:35.480 --> 0:21:35.720
<v Speaker 2>Yeah.

0:21:35.760 --> 0:21:40.520
<v Speaker 1>But anyway, he saw that, you know, things from childhood

0:21:40.680 --> 0:21:45.160
<v Speaker 1>were remembered by people with let's say dementia, and things

0:21:45.160 --> 0:21:47.560
<v Speaker 1>they did last week or last month were not remembered,

0:21:47.800 --> 0:21:49.760
<v Speaker 1>so older members more stable. Now, the reason this is

0:21:49.800 --> 0:21:54.040
<v Speaker 1>so strange is because nothing else works that way. Institutions,

0:21:54.080 --> 0:21:56.800
<v Speaker 1>for example, don't remember their older stuff better than they

0:21:56.880 --> 0:22:00.960
<v Speaker 1>remember their newer stuff. But brain works this way.

0:22:01.280 --> 0:22:02.280
<v Speaker 3>That is true.

0:22:02.359 --> 0:22:04.879
<v Speaker 1>So my question is, I mean, when when it comes

0:22:04.920 --> 0:22:09.760
<v Speaker 1>to music, presumably most of these great musicians have been

0:22:09.800 --> 0:22:13.280
<v Speaker 1>playing since they were a little kids, and these particular

0:22:13.320 --> 0:22:17.200
<v Speaker 1>songs are overlearned, as you mentioned. Is this an expression

0:22:17.240 --> 0:22:20.240
<v Speaker 1>of simply of Ribo's law, which is that it's an

0:22:20.280 --> 0:22:21.879
<v Speaker 1>older memory and that's why they're able to do it?

0:22:22.000 --> 0:22:24.520
<v Speaker 1>Or is there something different about music than if I

0:22:24.600 --> 0:22:28.160
<v Speaker 1>ask them something about their you know, their their childhood home.

0:22:28.840 --> 0:22:29.720
<v Speaker 3>What a great question.

0:22:29.960 --> 0:22:34.120
<v Speaker 2>Well, there is something different about music to invoke Claude Shannon.

0:22:34.880 --> 0:22:42.440
<v Speaker 2>It's a highly organized and structured stimulus like language, and

0:22:42.920 --> 0:22:49.720
<v Speaker 2>so in an information theory perspective, which is Shannon, your

0:22:49.760 --> 0:22:53.280
<v Speaker 2>ability to predict what will come next in any sequence

0:22:54.119 --> 0:22:58.119
<v Speaker 2>defines how structured highly structured it is. Even more so

0:22:58.280 --> 0:23:01.920
<v Speaker 2>than language. Music is highly constrained. So I could say

0:23:01.920 --> 0:23:04.439
<v Speaker 2>a sentence to you like this, Let's try this, the

0:23:04.480 --> 0:23:08.119
<v Speaker 2>pizza was too hot to blank? What comes to mind?

0:23:08.320 --> 0:23:15.359
<v Speaker 2>Eat yeah or touch yeah? I would not be likely

0:23:15.400 --> 0:23:19.400
<v Speaker 2>to say the pizza was too hot to sleep. Once

0:23:19.440 --> 0:23:21.399
<v Speaker 2>I say it, you understand what I meant, and you

0:23:21.480 --> 0:23:23.320
<v Speaker 2>understand that I use the correct part of speech. I

0:23:23.359 --> 0:23:26.760
<v Speaker 2>put a verb at the end, But it's an unlikely outcome.

0:23:28.040 --> 0:23:30.800
<v Speaker 2>Music is even more constrained because there are only twelve

0:23:30.800 --> 0:23:34.280
<v Speaker 2>notes in our scale, and there are I wouldn't call

0:23:34.320 --> 0:23:37.560
<v Speaker 2>them laws of music theory, but customs of music theory.

0:23:38.000 --> 0:23:40.800
<v Speaker 2>And there are rhythmic rules or customs.

0:23:41.440 --> 0:23:43.160
<v Speaker 3>And so once you.

0:23:43.160 --> 0:23:47.280
<v Speaker 2>Get going on a piece of music, its own structure

0:23:48.320 --> 0:23:52.439
<v Speaker 2>constrains what the possible completions are, making it easier to

0:23:52.640 --> 0:23:56.439
<v Speaker 2>remember and then easier to recollect, easier to store and

0:23:56.480 --> 0:24:01.640
<v Speaker 2>easier to retrieve, and then moreover, as its own internal tempo.

0:24:02.600 --> 0:24:06.200
<v Speaker 2>Once the beat is going, it's carrying you along, whether

0:24:06.240 --> 0:24:08.600
<v Speaker 2>you're ready to go along with it or not. And

0:24:08.680 --> 0:24:11.760
<v Speaker 2>so you're going to fill those slots with what needs

0:24:11.800 --> 0:24:15.040
<v Speaker 2>to go there or your best approximation for it. And

0:24:15.080 --> 0:24:18.720
<v Speaker 2>when you look at performing musicians, like typically the ones

0:24:18.760 --> 0:24:21.920
<v Speaker 2>that work holiday ins on Friday night lounge bands and stuff,

0:24:22.680 --> 0:24:26.159
<v Speaker 2>they might know two thousand songs where I would use

0:24:26.200 --> 0:24:29.960
<v Speaker 2>the word no in quotes, they probably don't know every

0:24:30.040 --> 0:24:32.240
<v Speaker 2>single note and every single rhythm.

0:24:32.720 --> 0:24:34.080
<v Speaker 3>But they can approximate it.

0:24:34.119 --> 0:24:37.160
<v Speaker 2>They can improvise and estimate it so that you don't

0:24:37.160 --> 0:24:38.280
<v Speaker 2>really notice the difference.

0:24:38.720 --> 0:24:42.360
<v Speaker 1>Well, that's actually a good segue into Parkinson's disease.

0:24:42.760 --> 0:24:46.280
<v Speaker 2>How is music used there? So in all these cases

0:24:47.359 --> 0:24:50.439
<v Speaker 2>of music is medicine. We're not talking about like a

0:24:50.520 --> 0:24:55.320
<v Speaker 2>music module in the brain or a music medicine prescription

0:24:55.520 --> 0:24:59.080
<v Speaker 2>that's straightforward, because music is doing different things in different

0:24:59.080 --> 0:25:01.879
<v Speaker 2>parts of the brain, different aspects of the music are

0:25:01.920 --> 0:25:04.480
<v Speaker 2>doing it, and Parkinson's is I'm so glad you brought

0:25:04.480 --> 0:25:07.480
<v Speaker 2>this up. It's actually the best case for understanding this

0:25:07.560 --> 0:25:14.080
<v Speaker 2>differentiation in Parkinson's disease. At some point, most patients will

0:25:14.119 --> 0:25:19.159
<v Speaker 2>experience difficulty walking movement disorders in general, but walking in particular,

0:25:19.680 --> 0:25:24.280
<v Speaker 2>and it's because the disease degrade circuits in the basal

0:25:24.320 --> 0:25:27.439
<v Speaker 2>ganglia that are required to maintain a smooth and steady

0:25:27.480 --> 0:25:30.640
<v Speaker 2>gait and to orchestrate the movements of one foot has

0:25:30.680 --> 0:25:32.160
<v Speaker 2>to go after the other and you have to put

0:25:32.160 --> 0:25:33.679
<v Speaker 2>it down at a certain time where you end up

0:25:33.680 --> 0:25:35.280
<v Speaker 2>with both feet in the air at the same time,

0:25:35.760 --> 0:25:38.720
<v Speaker 2>and that's not good for walking. And the circuits that

0:25:38.800 --> 0:25:42.840
<v Speaker 2>allow you to walk rely on an internal intrinsic timer

0:25:43.040 --> 0:25:47.120
<v Speaker 2>in the brain, a clock, and that's what gets degraded.

0:25:47.640 --> 0:25:50.159
<v Speaker 2>If you listen to music that has the tempo of

0:25:50.200 --> 0:25:58.560
<v Speaker 2>your natural gait, you have neurons, neuronal clusters that were

0:25:58.560 --> 0:26:02.600
<v Speaker 2>not damaged that synchronize to that pulse, and then they

0:26:02.600 --> 0:26:04.960
<v Speaker 2>can act as an external clock that allows you to

0:26:05.000 --> 0:26:06.560
<v Speaker 2>walk smoothly and continuously.

0:26:07.600 --> 0:26:11.080
<v Speaker 1>What else besides dementia and Parkinson's, where else do we

0:26:11.119 --> 0:26:12.520
<v Speaker 1>see therapeutic effects?

0:26:13.080 --> 0:26:16.359
<v Speaker 2>Well, I think one of the big ones is an anxiety.

0:26:16.800 --> 0:26:21.359
<v Speaker 2>Dentists figured this out a long time ago. They play

0:26:21.400 --> 0:26:25.040
<v Speaker 2>you what's supposed to be relaxing music to reduce your anxiety,

0:26:25.880 --> 0:26:27.879
<v Speaker 2>which reduces swelling and inflammation.

0:26:28.040 --> 0:26:29.879
<v Speaker 1>And why does that work?

0:26:30.640 --> 0:26:35.040
<v Speaker 2>Some music we find to be relaxing, some we find

0:26:35.080 --> 0:26:38.239
<v Speaker 2>to be stimulating, some we find to be inspiring. And

0:26:38.960 --> 0:26:42.639
<v Speaker 2>the difficulty is, there's no one music that will do

0:26:42.760 --> 0:26:45.440
<v Speaker 2>those things for everybody. In fact, there's no one song

0:26:45.480 --> 0:26:50.440
<v Speaker 2>everybody likes. There's no one song everybody hates. It's subjective,

0:26:50.920 --> 0:26:54.320
<v Speaker 2>like your taste for food. You know, why doesn't everybody

0:26:54.400 --> 0:26:58.400
<v Speaker 2>like Indian food? I love food, Not everybody does. You

0:26:58.440 --> 0:27:00.680
<v Speaker 2>have our own taste. It seems as though we have

0:27:00.720 --> 0:27:04.720
<v Speaker 2>an esthetic module each of us that governs things like

0:27:04.800 --> 0:27:08.919
<v Speaker 2>our taste and colors and people and tastes and music.

0:27:09.280 --> 0:27:12.560
<v Speaker 2>And we actually showed in a PNAS paper that a

0:27:12.640 --> 0:27:17.560
<v Speaker 2>person's preferences for certain musical combinations is correlated with their

0:27:17.600 --> 0:27:21.879
<v Speaker 2>preferences for certain color combinations, which seemed completely crazy to me.

0:27:22.520 --> 0:27:25.400
<v Speaker 2>It just seems so far fetched. But there's this underlying

0:27:25.440 --> 0:27:27.920
<v Speaker 2>aesthetic module that we can't account for yet.

0:27:29.080 --> 0:27:32.120
<v Speaker 1>What was the argument there, did you guys forward a hypothesis?

0:27:32.160 --> 0:27:33.200
<v Speaker 1>I read no?

0:27:33.200 --> 0:27:37.840
<v Speaker 2>Oh well, I mean there was some hand waving. Yes,

0:27:37.880 --> 0:27:41.399
<v Speaker 2>there's an aesthetics module, and yeah, I mean to some extent,

0:27:41.480 --> 0:27:44.359
<v Speaker 2>it had to do with consonants and dissonance. Do you

0:27:44.440 --> 0:27:47.639
<v Speaker 2>like to see contrasting colors and contrasting chords? Do you

0:27:47.720 --> 0:27:51.240
<v Speaker 2>like to see things that are more consonant and harmonious?

0:27:51.800 --> 0:27:56.280
<v Speaker 2>But sharp edges and the metaphorical sharp edges and music.

0:27:56.320 --> 0:27:58.720
<v Speaker 2>But apart from that, it was pretty speculative.

0:27:59.119 --> 0:28:02.040
<v Speaker 1>So let me double click on this issue about individual differences,

0:28:02.160 --> 0:28:05.640
<v Speaker 1>because one thing that's clear is across the population, some

0:28:05.640 --> 0:28:08.760
<v Speaker 1>people don't really like music that much. Other people love music,

0:28:08.840 --> 0:28:10.840
<v Speaker 1>it's a big part of their lives. But on one

0:28:10.880 --> 0:28:13.639
<v Speaker 1>on the spectrum, you just it's sort of meaningless to

0:28:13.680 --> 0:28:15.199
<v Speaker 1>many people. So how do you interpret that?

0:28:15.720 --> 0:28:18.880
<v Speaker 2>Well, I just look at this as as a necessity

0:28:19.040 --> 0:28:24.080
<v Speaker 2>of Darwinian theory, which is that we can't all be alike,

0:28:24.760 --> 0:28:28.520
<v Speaker 2>or we'd you know, genetically or behaviorally or we would

0:28:28.520 --> 0:28:32.040
<v Speaker 2>all be wiped out by a single opportunistic virus. So,

0:28:32.359 --> 0:28:35.400
<v Speaker 2>you know, a cornerstone of Darwinian theory, as you teach it,

0:28:35.600 --> 0:28:39.280
<v Speaker 2>as I teach it, is descent with modification and random mutation.

0:28:39.920 --> 0:28:44.520
<v Speaker 2>And so you know, most random mutations end up being unobservable.

0:28:45.080 --> 0:28:48.440
<v Speaker 2>Some of them we see a phenotypic variation, that is

0:28:48.440 --> 0:28:51.560
<v Speaker 2>a behavioral variation. And in that case, yeah, ten percent

0:28:51.600 --> 0:28:54.800
<v Speaker 2>of the population probably don't like music, and they don't

0:28:54.880 --> 0:28:57.560
<v Speaker 2>understand why the rest of us spend so much money

0:28:57.560 --> 0:29:00.520
<v Speaker 2>and time on it. Ten percent of the population probably

0:29:00.520 --> 0:29:04.680
<v Speaker 2>don't like chocolate. I find that so impossible to believe,

0:29:04.760 --> 0:29:07.800
<v Speaker 2>but they don't. And then there are you know, some

0:29:07.840 --> 0:29:11.080
<v Speaker 2>percentage of the population don't like sex. They tend not

0:29:11.160 --> 0:29:14.760
<v Speaker 2>to pass that on through reproduction, but that trait, but

0:29:15.160 --> 0:29:16.200
<v Speaker 2>it's the way it works.

0:29:16.560 --> 0:29:20.600
<v Speaker 1>How do you think music fits into the story of

0:29:21.080 --> 0:29:23.400
<v Speaker 1>evolution and human evolution in particular.

0:29:24.240 --> 0:29:29.480
<v Speaker 2>So Stephen Pinker famously threw down a gauntlet in nineteen

0:29:29.600 --> 0:29:32.400
<v Speaker 2>ninety seven when he said that he thinks that music

0:29:32.440 --> 0:29:36.360
<v Speaker 2>has nothing to do with evolution, that it was just

0:29:36.440 --> 0:29:39.800
<v Speaker 2>sort of a byproduct of other things that we developed,

0:29:39.880 --> 0:29:45.760
<v Speaker 2>like language. He called music auditory cheesecake, And what he

0:29:45.840 --> 0:29:50.960
<v Speaker 2>was saying was that, well, we didn't really evolve to

0:29:51.160 --> 0:29:54.720
<v Speaker 2>like cheesecake. We evolved to like sweets and fats because

0:29:54.760 --> 0:29:58.960
<v Speaker 2>in the very small amounts they were available across evolutionary

0:29:59.000 --> 0:30:02.440
<v Speaker 2>time periods to it was adaptive to seek them out. Now,

0:30:02.480 --> 0:30:06.479
<v Speaker 2>if you get cheesecake, it'll just you know, you know,

0:30:06.600 --> 0:30:10.520
<v Speaker 2>spike your blood sugar levels and be bad for your health.

0:30:10.600 --> 0:30:12.479
<v Speaker 1>I'm curious if you have a different view on it,

0:30:13.000 --> 0:30:15.400
<v Speaker 1>whether there's a role in evolution for music.

0:30:15.680 --> 0:30:17.600
<v Speaker 2>We do have some data and I'd like to share

0:30:17.600 --> 0:30:20.320
<v Speaker 2>that with you, our and our listeners. So to begin with,

0:30:20.800 --> 0:30:23.000
<v Speaker 2>I mean, just as a resource, I would mention Stephen

0:30:23.080 --> 0:30:26.680
<v Speaker 2>Mithen's book The Singing Neanderthals, where he makes the case

0:30:26.760 --> 0:30:30.800
<v Speaker 2>that music was a proto language that preceded, you know,

0:30:30.880 --> 0:30:36.560
<v Speaker 2>linguistic language speech. I would say the evidence that we

0:30:36.720 --> 0:30:40.520
<v Speaker 2>have from neuroanatomy is that, from the work that Vanode

0:30:40.520 --> 0:30:44.880
<v Speaker 2>Menon and I have done in others, those circuits that

0:30:44.960 --> 0:30:48.920
<v Speaker 2>are engaged with music, listening and performing are phylogenetically older

0:30:49.440 --> 0:30:52.360
<v Speaker 2>than the speech circuits. And that's the reason why Gabby

0:30:52.400 --> 0:30:55.760
<v Speaker 2>Giffords was able to recover speech after she was shot

0:30:55.760 --> 0:30:58.320
<v Speaker 2>in the head and lost the ability to speak. It's

0:30:58.320 --> 0:31:02.080
<v Speaker 2>called melodic intonation therapy. We can take somebody who's lost

0:31:02.080 --> 0:31:06.040
<v Speaker 2>speech ephasic expressive aphasia and teach them to sing what

0:31:06.080 --> 0:31:07.440
<v Speaker 2>they need to communicate.

0:31:08.280 --> 0:31:10.800
<v Speaker 1>So give us an example of that. What Gabby Gifference does.

0:31:11.320 --> 0:31:11.560
<v Speaker 3>Well.

0:31:11.640 --> 0:31:14.440
<v Speaker 2>She could not speak, but she might have been taught

0:31:14.480 --> 0:31:17.960
<v Speaker 2>things like I need a glass of water, show me

0:31:18.040 --> 0:31:22.560
<v Speaker 2>to the bathroom, I'm ready for bed now. She could

0:31:22.560 --> 0:31:27.280
<v Speaker 2>sing those things perfectly, and through neuroplasticity, the brain rewired

0:31:27.320 --> 0:31:32.320
<v Speaker 2>itself by passing those damaged circuits using the intact music circuits.

0:31:32.400 --> 0:31:37.640
<v Speaker 2>They are phylogenetically, that is, evolutionarily older. That's one piece

0:31:37.640 --> 0:31:41.880
<v Speaker 2>of evidence. Another is if we look at contemporary hunter

0:31:42.040 --> 0:31:46.120
<v Speaker 2>gatherer preliterate societies or all around the world that have

0:31:46.200 --> 0:31:50.040
<v Speaker 2>been cut off from Western civilization, and we make the assumption, David,

0:31:50.080 --> 0:31:52.239
<v Speaker 2>that they're living life now pretty much as they have

0:31:52.400 --> 0:31:55.440
<v Speaker 2>for ten or twenty thousand years, and all of them

0:31:55.520 --> 0:31:58.640
<v Speaker 2>use music for a number of things, not just a

0:31:58.640 --> 0:32:02.880
<v Speaker 2>single thing, but the emerging ideas that music evolved as

0:32:02.920 --> 0:32:05.800
<v Speaker 2>many things did, not for a single to solve a

0:32:05.800 --> 0:32:09.320
<v Speaker 2>single adaptive problem, but multiple problems, and one of them

0:32:09.480 --> 0:32:13.640
<v Speaker 2>was how do you encode knowledge in a pre literate society.

0:32:13.720 --> 0:32:16.640
<v Speaker 2>We've only had a written language for five thousand years.

0:32:16.720 --> 0:32:18.959
<v Speaker 2>We've been on the planet ten or twenty times. As

0:32:19.000 --> 0:32:22.040
<v Speaker 2>long as that, we still had to remember things like, oh,

0:32:22.600 --> 0:32:26.360
<v Speaker 2>don't go over that hill there, because my grandfather went

0:32:26.400 --> 0:32:29.400
<v Speaker 2>over there and they killed him because they're very vicious

0:32:29.800 --> 0:32:32.840
<v Speaker 2>and warring, and so you know, don't go there. And

0:32:33.280 --> 0:32:36.080
<v Speaker 2>when this water well runs dry, this is a route

0:32:36.120 --> 0:32:39.479
<v Speaker 2>to the other well, the supplementary one. Don't eat that

0:32:39.560 --> 0:32:42.480
<v Speaker 2>plant unless you boil it in this particular way. This

0:32:42.600 --> 0:32:46.520
<v Speaker 2>kind of knowledge is embedded in song in pre literate

0:32:46.560 --> 0:32:50.080
<v Speaker 2>hunter gatherer tribes and probably has been for a long time.

0:32:50.680 --> 0:32:54.640
<v Speaker 2>Mothers soothing their infants to imprint their infant on their

0:32:54.760 --> 0:32:58.480
<v Speaker 2>voice so that if they become separated, the infant will

0:32:59.200 --> 0:33:02.280
<v Speaker 2>know the sound the mother's voice. So we've got knowledge,

0:33:02.320 --> 0:33:06.120
<v Speaker 2>we've got bonding between mother and infant. We have social bonding.

0:33:06.200 --> 0:33:10.000
<v Speaker 2>Singing around a campfire to ward off a neighboring tribe

0:33:10.080 --> 0:33:14.960
<v Speaker 2>or predators as a way to defuse interpersonal tensions within

0:33:15.040 --> 0:33:18.360
<v Speaker 2>a tribe and to protect you from outside invaders.

0:33:18.920 --> 0:33:20.040
<v Speaker 3>Lots of different uses.

0:33:22.400 --> 0:33:23.880
<v Speaker 1>Let me double click on this for a second. Do

0:33:23.960 --> 0:33:29.520
<v Speaker 1>you feel that music is universal in terms of when

0:33:29.560 --> 0:33:31.600
<v Speaker 1>you compare across culture around the world, or are there

0:33:31.600 --> 0:33:35.120
<v Speaker 1>important differences locally both.

0:33:35.440 --> 0:33:39.320
<v Speaker 2>Music is a cultural universal. There is no known culture

0:33:39.360 --> 0:33:42.080
<v Speaker 2>now or any time in the past that lacked it.

0:33:42.760 --> 0:33:47.520
<v Speaker 2>In David Huron's words, music is marked by its ubiquity

0:33:47.720 --> 0:33:54.000
<v Speaker 2>and its antiquity, and there are huge local variations. One

0:33:54.040 --> 0:33:57.480
<v Speaker 2>thing in common is we all have the octave, which

0:33:57.520 --> 0:34:01.160
<v Speaker 2>is defined by frequencies that are double or having of

0:34:01.200 --> 0:34:04.680
<v Speaker 2>one another hundred hertz, two hundred hertz, fifty hertz, all

0:34:04.680 --> 0:34:09.279
<v Speaker 2>the same. We perceive them as perceptually very similar um

0:34:10.200 --> 0:34:13.880
<v Speaker 2>similar notes. We give them the same name. In Western system,

0:34:14.440 --> 0:34:16.880
<v Speaker 2>there's middle C and there's high C, and there's low C,

0:34:17.200 --> 0:34:17.839
<v Speaker 2>things like that.

0:34:18.160 --> 0:34:19.680
<v Speaker 3>But the way we divide up the.

0:34:19.640 --> 0:34:24.600
<v Speaker 2>Octave into pieces is different across cultures. We divide the

0:34:24.600 --> 0:34:27.319
<v Speaker 2>octave up into twelve pieces, and we tend to use

0:34:27.360 --> 0:34:29.360
<v Speaker 2>only five or seven of the notes at a time.

0:34:29.920 --> 0:34:32.840
<v Speaker 2>The patterns that we make once we've divided the octave,

0:34:33.440 --> 0:34:37.800
<v Speaker 2>the way we combine them, either sequentially or simultaneously melodies

0:34:37.840 --> 0:34:41.800
<v Speaker 2>and chords are different. And that's why Chinese opera and

0:34:41.920 --> 0:34:46.439
<v Speaker 2>the music of Sub Saharan Africa sounds so different to us.

0:34:47.200 --> 0:34:50.759
<v Speaker 2>It's based on different customs and a different system. And

0:34:50.840 --> 0:34:54.360
<v Speaker 2>it's not the case that our music is better or

0:34:54.400 --> 0:34:58.400
<v Speaker 2>that if only you went into the Amazon and played

0:34:58.400 --> 0:35:01.200
<v Speaker 2>the indigenous people their mozart, they would feel that they

0:35:01.200 --> 0:35:04.640
<v Speaker 2>had suddenly heard from God himself. It doesn't work that way.

0:35:04.840 --> 0:35:06.000
<v Speaker 2>We've done the experiment.

0:35:06.760 --> 0:35:08.040
<v Speaker 1>What is their impression of it?

0:35:08.480 --> 0:35:10.759
<v Speaker 3>Eh? Meh? Yeah.

0:35:10.800 --> 0:35:16.280
<v Speaker 1>Presumably whatever you've grown up with culturally affects your enjoyment

0:35:16.480 --> 0:35:17.720
<v Speaker 1>of what you're hearing, right.

0:35:18.040 --> 0:35:18.399
<v Speaker 3>Very much.

0:35:18.440 --> 0:35:21.040
<v Speaker 2>So. Yeah, we imprint on the music we're raised on,

0:35:21.760 --> 0:35:27.640
<v Speaker 2>and so we implicitly learn the grammar of our music

0:35:27.719 --> 0:35:30.720
<v Speaker 2>the way we implicitly learn the grammar of our language.

0:35:30.719 --> 0:35:35.799
<v Speaker 2>As Chomsky had said, here's a little test. Hang on

0:35:35.800 --> 0:35:39.000
<v Speaker 2>a second. Okay for the listener, Dan has des grabbed

0:35:39.040 --> 0:35:45.839
<v Speaker 2>his guitar, So we all know implicitly, uh scales, even

0:35:45.840 --> 0:35:53.920
<v Speaker 2>if we don't realize we do. Now you're expecting another note.

0:35:54.480 --> 0:35:55.799
<v Speaker 2>You're probably expecting this one.

0:35:57.960 --> 0:36:01.600
<v Speaker 1>Thank God about that? Yeah, otherwise.

0:36:06.440 --> 0:36:14.560
<v Speaker 3>That doesn't sound bad. But that sounds quite not quite right.

0:36:15.520 --> 0:36:18.040
<v Speaker 2>And we know chords. We know that if I go

0:36:26.600 --> 0:36:27.800
<v Speaker 2>it wants to go somewhere.

0:36:28.080 --> 0:36:30.799
<v Speaker 3>I can't just stop I've got to come back to.

0:36:32.400 --> 0:36:35.880
<v Speaker 2>Or or.

0:36:37.840 --> 0:36:42.040
<v Speaker 3>There's some options, but not unlimited options, right.

0:36:42.120 --> 0:36:45.000
<v Speaker 1>And I've talked in many episodes about how fundamentally the

0:36:45.040 --> 0:36:47.960
<v Speaker 1>brain is a prediction machine. It's just it is trying

0:36:48.000 --> 0:36:50.799
<v Speaker 1>to guess ahead at what's going on. It's got an

0:36:50.880 --> 0:36:54.200
<v Speaker 1>internal model of what's coming next. So in those cases,

0:36:54.280 --> 0:36:56.840
<v Speaker 1>let's say, with the chords that you were playing, is

0:36:56.840 --> 0:37:00.319
<v Speaker 1>it the case that I had certain predictions because of

0:37:00.320 --> 0:37:02.520
<v Speaker 1>the culture I've grown up in. To what extent would

0:37:02.520 --> 0:37:04.439
<v Speaker 1>that be universal about what chorn comes next?

0:37:04.840 --> 0:37:08.680
<v Speaker 2>Absolutely, and something I very much appreciate about you, because

0:37:09.200 --> 0:37:13.000
<v Speaker 2>this is not something that all cognitive scientists cognitive scientists

0:37:13.040 --> 0:37:15.560
<v Speaker 2>talk about, but you and I, I think, have been

0:37:15.600 --> 0:37:17.920
<v Speaker 2>big proponents for this idea that if the brain is

0:37:18.320 --> 0:37:21.040
<v Speaker 2>if the brain is nothing else, it is a giant

0:37:21.040 --> 0:37:25.160
<v Speaker 2>prediction machine. That is its job. It's just based on

0:37:25.280 --> 0:37:28.839
<v Speaker 2>what we've heard over and over and over again. And

0:37:29.680 --> 0:37:33.440
<v Speaker 2>the job of the composer and the performer is to

0:37:33.600 --> 0:37:37.520
<v Speaker 2>reward those expectations just enough of the time that you

0:37:37.600 --> 0:37:41.680
<v Speaker 2>feel like you're following along with the story as it unfolds.

0:37:42.239 --> 0:37:44.319
<v Speaker 2>But they have to surprise you just enough of the

0:37:44.360 --> 0:37:47.479
<v Speaker 2>time that you've learned something, or you get that little

0:37:47.600 --> 0:37:51.200
<v Speaker 2>hit of oh, isn't that interesting? As much as I

0:37:51.239 --> 0:37:54.120
<v Speaker 2>was trying to predict what comes next, they came up

0:37:54.160 --> 0:37:56.840
<v Speaker 2>with something even better than I could have imagined.

0:37:57.360 --> 0:38:00.000
<v Speaker 1>Just like with everything in life, there's a spectrum between

0:38:00.080 --> 0:38:04.040
<v Speaker 1>novelty and familiarity and all the sweet spot is in

0:38:04.120 --> 0:38:21.880
<v Speaker 1>between that. Somewhere on that note, what is the reason

0:38:22.000 --> 0:38:26.800
<v Speaker 1>that we care for rhythm so much? Do you feel

0:38:26.840 --> 0:38:28.880
<v Speaker 1>as I do that it has to do with predictability,

0:38:29.160 --> 0:38:32.239
<v Speaker 1>where the brain says, oh, now I know what's coming next.

0:38:32.280 --> 0:38:34.120
<v Speaker 1>There's the next beat, in the next beat, and there's

0:38:34.160 --> 0:38:39.600
<v Speaker 1>something very satisfying about having some structure of prediction, and

0:38:39.640 --> 0:38:41.719
<v Speaker 1>then there's surprises thrown on top of that.

0:38:42.200 --> 0:38:45.719
<v Speaker 2>It's because the brain's a prediction machine that rhythm is

0:38:45.840 --> 0:38:49.760
<v Speaker 2>meaningful to us. There are populations of neurons that fire

0:38:49.800 --> 0:38:53.880
<v Speaker 2>in synchrony with the beat, with the tempo that sets

0:38:54.000 --> 0:39:01.120
<v Speaker 2>us up for movement. And I mean that metaphor and literally,

0:39:02.200 --> 0:39:05.000
<v Speaker 2>music is possibly the only art form that makes you

0:39:05.000 --> 0:39:07.319
<v Speaker 2>want to wiggle your body in response to it. People

0:39:07.360 --> 0:39:10.720
<v Speaker 2>aren't standing in front of the Mona Lisa and dancing.

0:39:10.480 --> 0:39:12.920
<v Speaker 3>Although they do, they.

0:39:12.280 --> 0:39:14.120
<v Speaker 2>Seem weird and they might get kicked out of the louver,

0:39:14.520 --> 0:39:17.799
<v Speaker 2>but we dance to music because we can't help it.

0:39:17.840 --> 0:39:20.359
<v Speaker 2>And in the neuroimaging studies I've done all of them,

0:39:20.640 --> 0:39:24.080
<v Speaker 2>where we ask people to stay still, we still see

0:39:24.120 --> 0:39:27.160
<v Speaker 2>activity in their premotor cortex and their motor cortex that

0:39:27.160 --> 0:39:30.799
<v Speaker 2>they're trying to suppress. And then on the metaphorical movement, yes,

0:39:31.440 --> 0:39:35.000
<v Speaker 2>rhythm is important because it's telling us that there is

0:39:35.040 --> 0:39:37.640
<v Speaker 2>more to come and we want to know what that is.

0:39:38.040 --> 0:39:41.840
<v Speaker 2>It sets up a narrative momentum and when a musician

0:39:41.880 --> 0:39:44.560
<v Speaker 2>could play around with that rhythm. If you listen to

0:39:44.560 --> 0:39:48.759
<v Speaker 2>what Stevie Wonder does and the opening to Superstition, I

0:39:48.760 --> 0:39:52.080
<v Speaker 2>can't replicate this exactly, but he's playing around on the

0:39:52.160 --> 0:39:54.400
<v Speaker 2>high hat. He's setting up a beat. The high hat's

0:39:54.400 --> 0:40:00.200
<v Speaker 2>that little symbol and ordinarily a normal drummer would just go,

0:40:02.600 --> 0:40:10.920
<v Speaker 2>but Stevie doesn't goes. He's playing around. No, two times

0:40:10.960 --> 0:40:13.720
<v Speaker 2>are the same, and we may not notice it because

0:40:13.719 --> 0:40:17.880
<v Speaker 2>he keeps the underlying pulse there, but it is ear

0:40:17.960 --> 0:40:22.160
<v Speaker 2>Candy Man. It is just so interesting for the brain

0:40:23.120 --> 0:40:25.720
<v Speaker 2>to take all that in, even at a subliminal level,

0:40:26.440 --> 0:40:28.480
<v Speaker 2>that there's so much going on, and not only is

0:40:28.520 --> 0:40:31.280
<v Speaker 2>he changing in the rhythm. He's moving his stick around

0:40:31.880 --> 0:40:33.919
<v Speaker 2>so he gets the bell of the symbol, he gets

0:40:33.960 --> 0:40:36.280
<v Speaker 2>the edge, he gets the middle, he gets different sounds

0:40:36.320 --> 0:40:36.759
<v Speaker 2>out of it.

0:40:38.680 --> 0:40:40.799
<v Speaker 1>So this is a good segue into something I've been

0:40:40.800 --> 0:40:43.080
<v Speaker 1>wanting to ask you, which is, what is your take

0:40:44.120 --> 0:40:48.279
<v Speaker 1>on artificial intelligence and music the future of And there

0:40:48.280 --> 0:40:49.879
<v Speaker 1>are two ways to think about this, of course. One

0:40:49.960 --> 0:40:55.400
<v Speaker 1>is AI composing music. Another is AI finding the perfect

0:40:55.480 --> 0:40:57.520
<v Speaker 1>music for you. Maybe there are other ways to think

0:40:57.520 --> 0:40:59.480
<v Speaker 1>about it as well, But tell us your take on

0:40:59.520 --> 0:41:00.680
<v Speaker 1>the future.

0:41:00.880 --> 0:41:05.239
<v Speaker 2>AI composing music. I look at it this way. I

0:41:05.239 --> 0:41:09.280
<v Speaker 2>have a friend, a novelist, Gail Jones, wonderful novelist, who

0:41:09.320 --> 0:41:13.520
<v Speaker 2>says that AI music now is like those artificial flowers

0:41:13.560 --> 0:41:16.319
<v Speaker 2>at a holiday inn. You walk in the lobby, you

0:41:16.320 --> 0:41:18.839
<v Speaker 2>see this big display and you go, wow, isn't that nice?

0:41:18.880 --> 0:41:21.160
<v Speaker 2>And you get up close and you realize they have

0:41:21.280 --> 0:41:25.120
<v Speaker 2>no nice odor and they're plastic, And so AI music

0:41:25.160 --> 0:41:29.280
<v Speaker 2>at a distance probably sounds just fine. And it's already

0:41:29.280 --> 0:41:33.160
<v Speaker 2>crept into advertising on social media. It's being used in

0:41:33.200 --> 0:41:36.840
<v Speaker 2>the background. It's sonic wallpaper. It's kind of like the

0:41:36.920 --> 0:41:39.799
<v Speaker 2>painting in the bedroom of that same holiday in room

0:41:39.840 --> 0:41:43.080
<v Speaker 2>it's like, Okay, it's covering the wall. It's kind of nice,

0:41:43.080 --> 0:41:44.719
<v Speaker 2>but I'm not going to sit there and stare at

0:41:44.760 --> 0:41:49.840
<v Speaker 2>it for hours. I think that you and I subscribe

0:41:50.080 --> 0:41:56.080
<v Speaker 2>to Dan Dennett's functionalism, the idea that in theory, all

0:41:56.080 --> 0:41:58.560
<v Speaker 2>of our thoughts, hopes, desires, and beliefs, all of our

0:41:58.600 --> 0:42:01.960
<v Speaker 2>mental activity can be redo to brain activity, and that

0:42:02.040 --> 0:42:05.400
<v Speaker 2>brain activity can be characterized by patterns of neural firings

0:42:05.440 --> 0:42:08.799
<v Speaker 2>and connections if you could replicate a human brain and

0:42:09.000 --> 0:42:11.960
<v Speaker 2>add in the right amount of random factors. I think

0:42:11.960 --> 0:42:15.320
<v Speaker 2>in theory, yes, AI music could be great. I don't

0:42:15.400 --> 0:42:17.920
<v Speaker 2>like the thought of it, but I mean that's the reality.

0:42:19.960 --> 0:42:22.680
<v Speaker 2>But for now, I don't think AI music is going

0:42:22.760 --> 0:42:25.240
<v Speaker 2>to be a threat to real music and real feeling.

0:42:25.719 --> 0:42:29.440
<v Speaker 2>But you nailed it on the head. Where I think

0:42:29.480 --> 0:42:32.840
<v Speaker 2>AI can be the most use is helping us to

0:42:32.960 --> 0:42:36.319
<v Speaker 2>find music that we like. Most of us listen to

0:42:36.360 --> 0:42:39.440
<v Speaker 2>a couple of thousand songs maximum, over and over and again,

0:42:39.960 --> 0:42:43.360
<v Speaker 2>and occasionally let in a few new ones, and those

0:42:43.440 --> 0:42:47.400
<v Speaker 2>can be comforting and rewarding, but they can dig deep

0:42:47.520 --> 0:42:50.400
<v Speaker 2>neural ruts such that we get tired of them and

0:42:50.440 --> 0:42:54.840
<v Speaker 2>we want something new. There are now two hundred million

0:42:55.480 --> 0:43:00.840
<v Speaker 2>songs across the streaming services, with a one hundred thousand

0:43:00.920 --> 0:43:04.520
<v Speaker 2>new ones being uploaded every day. So how do you

0:43:04.560 --> 0:43:08.880
<v Speaker 2>find what you like? The major streaming services have recommendation systems.

0:43:08.920 --> 0:43:14.160
<v Speaker 2>They don't work particularly well for me, But AI in

0:43:14.280 --> 0:43:19.520
<v Speaker 2>principle can extract hundreds of features latent features for music

0:43:19.920 --> 0:43:23.840
<v Speaker 2>and build a multi dimensional model, a higher dimensional manifold

0:43:23.880 --> 0:43:27.919
<v Speaker 2>of musical structure and DNA that might have one hundred

0:43:27.960 --> 0:43:31.279
<v Speaker 2>and fifty orthogonal dimensions, and set up a kind of

0:43:31.440 --> 0:43:35.319
<v Speaker 2>universe of music where things that are where each song

0:43:35.400 --> 0:43:37.359
<v Speaker 2>is like a planet, and planets that are near each

0:43:37.400 --> 0:43:40.640
<v Speaker 2>other are going to be similar, not just structurally, but

0:43:40.800 --> 0:43:43.440
<v Speaker 2>in an emotional space where they're likely to cause a

0:43:43.480 --> 0:43:48.640
<v Speaker 2>similar emotional reaction in a given listener, knowing what your

0:43:48.840 --> 0:43:52.400
<v Speaker 2>own personal space is, right, It's not going to be

0:43:52.440 --> 0:43:57.319
<v Speaker 2>something that is entirely objective and prescriptive and one one

0:43:57.400 --> 0:44:00.279
<v Speaker 2>hundred and fifty dimensional map for everybody. They'll have to

0:44:00.280 --> 0:44:02.440
<v Speaker 2>be to maps for each person, because your tastes are

0:44:02.480 --> 0:44:06.120
<v Speaker 2>different than mine. As my grandfather used to say, if

0:44:06.160 --> 0:44:08.799
<v Speaker 2>everybody liked the same things, they'd all want to get

0:44:08.840 --> 0:44:12.839
<v Speaker 2>with your grandma, I'm going.

0:44:12.840 --> 0:44:14.920
<v Speaker 1>To steal that line if you don't mind, when I'm

0:44:14.960 --> 0:44:17.880
<v Speaker 1>a grandfather. What have I not asked you that I

0:44:17.880 --> 0:44:18.640
<v Speaker 1>should ask you?

0:44:19.160 --> 0:44:23.160
<v Speaker 2>I wanted to ask you of the many successful books

0:44:23.800 --> 0:44:27.359
<v Speaker 2>and highly regarded books you've written, did you write them

0:44:27.560 --> 0:44:30.200
<v Speaker 2>because you wanted to read them and you couldn't find them?

0:44:30.280 --> 0:44:32.600
<v Speaker 2>Or did you write them because you just thought that

0:44:32.719 --> 0:44:34.720
<v Speaker 2>you had a different take on something than others?

0:44:35.160 --> 0:44:38.640
<v Speaker 1>Oh? No, I actually know precisely why I write my

0:44:38.680 --> 0:44:40.399
<v Speaker 1>books and who I'm writing them for, which is I'm

0:44:40.440 --> 0:44:44.200
<v Speaker 1>writing them for the younger version of me that didn't

0:44:44.280 --> 0:44:48.959
<v Speaker 1>know those particular facts when he was younger, but would

0:44:49.040 --> 0:44:51.839
<v Speaker 1>have loved that. That's who I'm always writing for.

0:44:52.560 --> 0:44:55.480
<v Speaker 2>You know, Joni Mitchell taught me about something about songwriting

0:44:55.520 --> 0:44:59.640
<v Speaker 2>that was really transformative and my songs I've been writing

0:44:59.640 --> 0:45:01.920
<v Speaker 2>since I I was eighteen, but since Joni told me

0:45:01.960 --> 0:45:04.919
<v Speaker 2>this in two thousand and five, I not only did

0:45:04.920 --> 0:45:07.279
<v Speaker 2>my current songs get better, but I went back to

0:45:07.360 --> 0:45:10.680
<v Speaker 2>the old ones and started rewriting them. And what she

0:45:10.760 --> 0:45:13.440
<v Speaker 2>said was, you don't write a song because you figured

0:45:13.480 --> 0:45:17.080
<v Speaker 2>something out. You write it in order to figure something out.

0:45:24.960 --> 0:45:30.280
<v Speaker 1>That was my friend and colleague Dan Levitton, neuroscientist, cognitive psychologist, writer, musician,

0:45:30.400 --> 0:45:33.600
<v Speaker 1>and record producer. So what has emerged from a couple

0:45:33.600 --> 0:45:36.680
<v Speaker 1>of decades of the study of music in the brain

0:45:37.400 --> 0:45:41.880
<v Speaker 1>is that music can't be understood simply as different pitches

0:45:41.960 --> 0:45:46.920
<v Speaker 1>hitting the ear. The sounds of music trigger a neural

0:45:47.360 --> 0:45:51.279
<v Speaker 1>hurricane of spikes on the inside of the skull, and

0:45:51.280 --> 0:45:54.040
<v Speaker 1>this correlates with the pitch in rhythm and timbre, but

0:45:54.120 --> 0:45:59.440
<v Speaker 1>it jins up a silent neural symphony, and that activity

0:45:59.600 --> 0:46:04.040
<v Speaker 1>is closely tied in with our emotions and it pulls

0:46:04.320 --> 0:46:08.600
<v Speaker 1>strings to our memories. We don't just hear music, we

0:46:08.800 --> 0:46:13.319
<v Speaker 1>actually resonate with it neurally. So the brain doesn't just

0:46:13.600 --> 0:46:18.560
<v Speaker 1>process music, it magnifies it, which shows us once again

0:46:19.000 --> 0:46:22.240
<v Speaker 1>that the ultimate instrument is not the piano or the guitar,

0:46:22.800 --> 0:46:29.520
<v Speaker 1>but the one between our ears. Go to eagleman dot

0:46:29.560 --> 0:46:32.279
<v Speaker 1>com slash podcast for more information and to find for