1 00:00:00,240 --> 00:00:05,560 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,040 --> 00:00:07,640 Speaker 2: And welcome back to Coast to Coast George Nori with you. 3 00:00:07,760 --> 00:00:10,360 Speaker 2: Matthew Cobb with us. A professor in the School of 4 00:00:10,400 --> 00:00:14,800 Speaker 2: Biological Sciences at the University of Manchester in England. He 5 00:00:14,960 --> 00:00:18,280 Speaker 2: is an expert on insect behavior and the history of science. 6 00:00:18,360 --> 00:00:21,919 Speaker 2: He earned his PhD in psychology and genetics from the 7 00:00:22,040 --> 00:00:25,200 Speaker 2: University of Sheffield and is the author of a number 8 00:00:25,200 --> 00:00:28,800 Speaker 2: of books, five plus and Lives in England. Matthew, Welcome 9 00:00:28,840 --> 00:00:30,960 Speaker 2: to the program, looking forward to talking to you. 10 00:00:31,640 --> 00:00:33,400 Speaker 3: Good to be here, George, thank you very much for 11 00:00:33,440 --> 00:00:34,000 Speaker 3: inviting me. 12 00:00:34,320 --> 00:00:36,360 Speaker 2: Howard things in the United Kingdom these. 13 00:00:36,320 --> 00:00:42,279 Speaker 3: Days, Well you may have heard we've left the European 14 00:00:42,400 --> 00:00:44,880 Speaker 3: Union and we're about to have a new king crown, 15 00:00:44,960 --> 00:00:46,599 Speaker 3: So I guess that kind of sums it up. 16 00:00:46,760 --> 00:00:49,080 Speaker 2: They're all excited about King Charles, aren't they. 17 00:00:50,360 --> 00:00:53,080 Speaker 3: Some people may be. I'm afraid I don't share it. 18 00:00:53,159 --> 00:00:56,480 Speaker 3: I think I think the American settler's had it right. 19 00:00:57,840 --> 00:01:00,080 Speaker 2: Well, you may have been right all about that, but 20 00:01:00,680 --> 00:01:04,600 Speaker 2: it's amazing how most folks out there still embrace the 21 00:01:05,319 --> 00:01:07,000 Speaker 2: you know, the royalty. 22 00:01:07,640 --> 00:01:12,959 Speaker 3: Well, yes, and no I mean there's some people are 23 00:01:13,240 --> 00:01:18,319 Speaker 3: ardent supporters, but opinion polls generally show that somebody liked 24 00:01:18,360 --> 00:01:21,080 Speaker 3: the queen. I mean, she was a nice old lady. 25 00:01:22,200 --> 00:01:26,240 Speaker 3: I think opinions of Charles are somewhat different because of 26 00:01:26,280 --> 00:01:31,280 Speaker 3: all his past and his he tended to, even when 27 00:01:31,280 --> 00:01:33,360 Speaker 3: he was Prince of Wales, to get much more involved 28 00:01:33,400 --> 00:01:36,600 Speaker 3: in politics and so on, and people many people don't 29 00:01:36,600 --> 00:01:40,399 Speaker 3: appreciate that. We'll see what he does when he's crown king. 30 00:01:40,480 --> 00:01:44,360 Speaker 3: But they are incredibly wealthy people and they still take 31 00:01:44,400 --> 00:01:47,800 Speaker 3: a lot of money from the taxpayer, so people get 32 00:01:47,800 --> 00:01:49,160 Speaker 3: cross absolutely. 33 00:01:49,280 --> 00:01:51,840 Speaker 2: Matthew, your idea of the brain book that you wrote 34 00:01:51,880 --> 00:01:54,520 Speaker 2: back in twenty twenty, we'll talk about that in a second, 35 00:01:54,520 --> 00:01:57,800 Speaker 2: but tell me a little bit about insect behavior that's 36 00:01:57,960 --> 00:02:00,040 Speaker 2: that kind of study. How did you get into. 37 00:01:59,920 --> 00:02:05,280 Speaker 3: That, Well, it's connected actually with the book. So, as 38 00:02:05,320 --> 00:02:09,800 Speaker 3: you said rightly, I began my career training in psychology, 39 00:02:09,960 --> 00:02:13,679 Speaker 3: and in those days, psychology was pretty much like neuroscience, 40 00:02:14,200 --> 00:02:17,000 Speaker 3: which the word benly existed at the time, neuroscience with 41 00:02:17,080 --> 00:02:20,600 Speaker 3: a bit of freuds thrown in. And one of the 42 00:02:20,680 --> 00:02:23,440 Speaker 3: things that I was interested in behavior in general, in 43 00:02:23,480 --> 00:02:27,040 Speaker 3: how organisms are able to do what they do. And 44 00:02:27,560 --> 00:02:29,760 Speaker 3: I was a first year student and I read a 45 00:02:29,760 --> 00:02:35,440 Speaker 3: little article in nineteen seventy six in a magazine called 46 00:02:35,480 --> 00:02:38,440 Speaker 3: New Scientist, which is a weekly popular science magazine in 47 00:02:38,480 --> 00:02:43,760 Speaker 3: the UK, and it summarized a paper from an American 48 00:02:43,800 --> 00:02:47,920 Speaker 3: group in which they had taken drosofla dressofs, the tiny 49 00:02:48,400 --> 00:02:49,840 Speaker 3: fly that geneticis you. 50 00:02:50,040 --> 00:02:52,040 Speaker 2: We can't fruitiflies, right. 51 00:02:52,280 --> 00:02:54,320 Speaker 3: Yeah, they're not actually fruit flies. And that caused a 52 00:02:54,320 --> 00:02:56,080 Speaker 3: lot of trouble in the US because you do have 53 00:02:56,120 --> 00:02:59,720 Speaker 3: real fruitflies, which are a real problem so in most 54 00:02:59,720 --> 00:03:02,680 Speaker 3: places in the world, and they're called vinegar flies because 55 00:03:02,680 --> 00:03:05,640 Speaker 3: they're attracted to vinegar. But yeah, they're commonly known as 56 00:03:05,639 --> 00:03:11,680 Speaker 3: the fruit fly. And this article showed that these researchers 57 00:03:11,680 --> 00:03:14,760 Speaker 3: had made a fly that was a big mutated a 58 00:03:14,800 --> 00:03:17,880 Speaker 3: single gene. In fact, they mutated one letter of its 59 00:03:17,960 --> 00:03:21,200 Speaker 3: DNA code, and the fly could now no longer learn. 60 00:03:21,280 --> 00:03:26,000 Speaker 3: It was stupid. They called this mutation dunce. And I 61 00:03:26,040 --> 00:03:28,360 Speaker 3: read that and I remember it was like an electric shock. 62 00:03:28,440 --> 00:03:31,720 Speaker 3: I thought, Wow, so you can actually get something as 63 00:03:31,720 --> 00:03:35,680 Speaker 3: complicated as learning using one and insect and two you 64 00:03:35,680 --> 00:03:38,560 Speaker 3: can actually get to the genetic factors involved in that. 65 00:03:38,720 --> 00:03:42,440 Speaker 3: And I instantly decided that's what I want to do. 66 00:03:42,960 --> 00:03:46,320 Speaker 3: What I didn't know that, quite by chance, I was 67 00:03:46,360 --> 00:03:48,920 Speaker 3: at the only place in the UK at the time 68 00:03:49,000 --> 00:03:53,840 Speaker 3: that was studying what's called drosop behavior genetics, using genetics 69 00:03:53,880 --> 00:03:57,160 Speaker 3: to get at behavior. So I was incredibly lucky, which 70 00:03:57,200 --> 00:03:59,800 Speaker 3: is generally the truth of all scientific careers, so that 71 00:04:00,120 --> 00:04:04,280 Speaker 3: it was trying to find a way of getting at 72 00:04:04,280 --> 00:04:09,600 Speaker 3: the heart of complicated factors like behavior, to understand the 73 00:04:09,720 --> 00:04:14,560 Speaker 3: underpinning components of them. And I decided that I was 74 00:04:14,600 --> 00:04:17,800 Speaker 3: going to study the genetics of behavior. And flies, whilst 75 00:04:17,880 --> 00:04:21,480 Speaker 3: they aren't as interesting as mice or rats or whatever, 76 00:04:21,560 --> 00:04:24,960 Speaker 3: clearly or humans have worked on humans as well. They're 77 00:04:25,040 --> 00:04:28,440 Speaker 3: much simpler and much more easy to manipulate, and they're 78 00:04:28,760 --> 00:04:31,640 Speaker 3: you know, it's just much it's much more straightforward to 79 00:04:31,640 --> 00:04:34,600 Speaker 3: get at these fundamental aspects. So that's why I decided 80 00:04:34,640 --> 00:04:37,800 Speaker 3: to do what I've spent the last forty odd years doing. 81 00:04:38,360 --> 00:04:41,479 Speaker 2: I remember in my biology class in high school, Matthew 82 00:04:41,560 --> 00:04:45,279 Speaker 2: that we would use the drosophala as our genetics test 83 00:04:45,720 --> 00:04:47,960 Speaker 2: because they've bred so darn fast. 84 00:04:48,680 --> 00:04:51,799 Speaker 3: That's right. You get a generation apps in ten twelve days, 85 00:04:51,839 --> 00:04:54,279 Speaker 3: so that's pretty good going and if you can create 86 00:04:54,279 --> 00:04:56,960 Speaker 3: a mutation you I mean, in the old days, you'd 87 00:04:57,000 --> 00:04:59,920 Speaker 3: either bombard and X rays or you'd give them so 88 00:05:00,160 --> 00:05:03,200 Speaker 3: horrible chemical that would change their DNA. That's how they've 89 00:05:03,240 --> 00:05:06,039 Speaker 3: made this dunce mutation. And then you've got lots and 90 00:05:06,080 --> 00:05:08,080 Speaker 3: lots of individuals, and then you have to look to 91 00:05:08,120 --> 00:05:10,920 Speaker 3: see which ones are the odd ones that show that 92 00:05:11,600 --> 00:05:14,400 Speaker 3: the thing you're interested in, that can't learn, or can't 93 00:05:14,400 --> 00:05:16,640 Speaker 3: smell or whatever it is, you're interesting. So in those 94 00:05:16,720 --> 00:05:19,159 Speaker 3: days back then, it was a very very cumbersome, slow affair. 95 00:05:19,400 --> 00:05:22,800 Speaker 3: Nowadays because we know everything about there, probably know more 96 00:05:22,800 --> 00:05:25,520 Speaker 3: about drosoft Loo than we do about any other organism 97 00:05:26,400 --> 00:05:30,240 Speaker 3: on the planet except what it does in the wild. 98 00:05:30,880 --> 00:05:33,359 Speaker 3: So we've actually turned this thing into a piece of 99 00:05:33,440 --> 00:05:38,360 Speaker 3: laboratory equipment. And that's been the focus for the last 100 00:05:38,640 --> 00:05:41,120 Speaker 3: kind of forty or fifty years, is basically trying to 101 00:05:41,200 --> 00:05:44,640 Speaker 3: understand this one thing and not actually thinking about, well, 102 00:05:44,640 --> 00:05:47,600 Speaker 3: actually it's alive and it has a life out there. 103 00:05:47,680 --> 00:05:50,159 Speaker 3: It was evolved to have a life out in the wild. 104 00:05:50,240 --> 00:05:52,680 Speaker 3: So people are kind of beginning to move on from 105 00:05:52,680 --> 00:05:55,880 Speaker 3: this very mechanistic view and trying to think of it 106 00:05:55,920 --> 00:05:57,800 Speaker 3: in a bit more rich way. But the first thing 107 00:05:57,800 --> 00:06:00,279 Speaker 3: we had to do was to nail those mechanisms and 108 00:06:00,440 --> 00:06:03,400 Speaker 3: understands something very very simple, which is what I've been 109 00:06:03,400 --> 00:06:03,920 Speaker 3: involved in. 110 00:06:04,040 --> 00:06:07,960 Speaker 2: I was fascinated as a youth with ants. I thought 111 00:06:08,040 --> 00:06:10,760 Speaker 2: that they were just so smart, and the way they 112 00:06:10,800 --> 00:06:14,839 Speaker 2: colonized and built their houses and built their little ant 113 00:06:15,000 --> 00:06:18,400 Speaker 2: the piles. I mean, it was an amazing, amazing the 114 00:06:18,440 --> 00:06:19,239 Speaker 2: way they think. 115 00:06:19,120 --> 00:06:21,479 Speaker 3: Yeah, well, you're not the only one has been amazed 116 00:06:21,480 --> 00:06:22,600 Speaker 3: by it. I mean I spent I spent a few 117 00:06:22,640 --> 00:06:26,480 Speaker 3: years working on ants as well. But Charles Darwin he 118 00:06:27,640 --> 00:06:30,200 Speaker 3: wrote that the brain of the ant was the most 119 00:06:30,240 --> 00:06:36,120 Speaker 3: marvelous atom of nature because it precisely what you've just said. 120 00:06:36,160 --> 00:06:38,400 Speaker 3: They do all this amazing stuff, and yet do you 121 00:06:38,440 --> 00:06:40,920 Speaker 3: think about the size of their heads? Quite how small 122 00:06:40,960 --> 00:06:44,280 Speaker 3: it is. And all of that stuff that they do 123 00:06:45,080 --> 00:06:48,200 Speaker 3: is in two places. It's in their brain, it's in 124 00:06:48,240 --> 00:06:51,640 Speaker 3: their neurons, but ultimately, of course it's in their DNA. 125 00:06:52,120 --> 00:06:56,040 Speaker 3: How does that work? Right, our spoiler, we have no idea. 126 00:06:57,520 --> 00:07:00,680 Speaker 2: Fantastic Now, how did you get interested in the brain? 127 00:07:02,600 --> 00:07:05,280 Speaker 3: Well, it flowed from being interested in behavior. So I've 128 00:07:05,320 --> 00:07:09,640 Speaker 3: studying psychology and so it kind of that's the you know, 129 00:07:10,200 --> 00:07:11,960 Speaker 3: that's what you do. That's the main thing. It's not 130 00:07:12,000 --> 00:07:17,040 Speaker 3: the only thing. That it's involved in producing our and 131 00:07:17,080 --> 00:07:20,800 Speaker 3: explaining our behavior and the behavior of all animals. So 132 00:07:21,640 --> 00:07:25,000 Speaker 3: I mean, in general, I haven't actually worked on the 133 00:07:25,040 --> 00:07:29,560 Speaker 3: brain directly. So most of my work has been on 134 00:07:29,760 --> 00:07:35,640 Speaker 3: studying the sense of smell using not even Drosophla of flies, 135 00:07:35,720 --> 00:07:38,600 Speaker 3: but drosophl maggots. So the baby, the laugh and a 136 00:07:38,600 --> 00:07:43,200 Speaker 3: little rigly thing. I've studied that because I'll just to 137 00:07:43,200 --> 00:07:46,200 Speaker 3: give you an idea of scale. You've got about four 138 00:07:46,280 --> 00:07:51,760 Speaker 3: million smell cells in your nose, okay, and the fly, 139 00:07:52,200 --> 00:07:54,600 Speaker 3: or the maggot, rather the tiny little maggot has got 140 00:07:54,640 --> 00:07:58,120 Speaker 3: just twenty one. Because we can manipulate all sorts of 141 00:07:58,120 --> 00:08:02,440 Speaker 3: things about the Drosofla genes, I can make a maggot 142 00:08:02,520 --> 00:08:05,640 Speaker 3: with just one smell cell in its notes, just one 143 00:08:05,720 --> 00:08:09,160 Speaker 3: working smell cell, and you can then record from that 144 00:08:09,320 --> 00:08:12,320 Speaker 3: cell and see how the maggot responds to smells, how 145 00:08:12,320 --> 00:08:15,800 Speaker 3: that particular cell responds to smells, see how it behaves, 146 00:08:15,840 --> 00:08:20,520 Speaker 3: and try and understand something about the organization of its 147 00:08:21,000 --> 00:08:24,400 Speaker 3: nervous system and of its behavior. And what's very striking 148 00:08:24,520 --> 00:08:27,680 Speaker 3: is that the maggot. The way the maggot knows and 149 00:08:27,720 --> 00:08:30,640 Speaker 3: its brain are wired up to detect smells is basically 150 00:08:30,640 --> 00:08:33,439 Speaker 3: the same way as yours is, and indeed every other animal. 151 00:08:33,800 --> 00:08:37,440 Speaker 3: So by looking at something simple we can with luck, 152 00:08:37,760 --> 00:08:41,480 Speaker 3: get principles about how more complex things work. And to 153 00:08:41,520 --> 00:08:44,600 Speaker 3: give you another example, the genes that are involved in 154 00:08:44,640 --> 00:08:48,280 Speaker 3: the fly in that learning experiment that make the gene 155 00:08:48,320 --> 00:08:52,000 Speaker 3: that dunts had its poor older or old dunce had 156 00:08:52,000 --> 00:08:55,880 Speaker 3: its genes altered. That gene is active in your cells 157 00:08:56,240 --> 00:08:59,679 Speaker 3: right now. It's the same gene. So it doesn't, you know, 158 00:09:00,000 --> 00:09:02,120 Speaker 3: involved in learning. It's involved lots of things. But though 159 00:09:02,240 --> 00:09:05,760 Speaker 3: there's a what's called a conservation of characters, there are 160 00:09:05,800 --> 00:09:09,960 Speaker 3: some characters, some genes that are present in all organismship. 161 00:09:10,520 --> 00:09:13,800 Speaker 3: You know, your your your biological clock, which you may 162 00:09:13,880 --> 00:09:16,120 Speaker 3: or may not be suffering from from that you used 163 00:09:16,120 --> 00:09:19,800 Speaker 3: to do it working at night, it's probably okay. Again, 164 00:09:20,160 --> 00:09:23,160 Speaker 3: the mechanisms of the biological clock were discovered in the fly, 165 00:09:23,360 --> 00:09:26,680 Speaker 3: and to everybody's amazement, it's the same genes involved in 166 00:09:26,720 --> 00:09:29,920 Speaker 3: the fly as in humans. A bit more complicated than us, 167 00:09:29,920 --> 00:09:31,360 Speaker 3: but ultimately it's the same thing. 168 00:09:31,640 --> 00:09:34,040 Speaker 2: How much do we understand about the brain. 169 00:09:33,880 --> 00:09:39,680 Speaker 3: Matthew, not much at all. So when I was writing 170 00:09:39,720 --> 00:09:43,880 Speaker 3: the book. When I was writing the book, my editor said, 171 00:09:43,920 --> 00:09:48,040 Speaker 3: so how does the brain work? And I said, we 172 00:09:48,120 --> 00:09:50,920 Speaker 3: have no idea. They said, oh, you can't say that. 173 00:09:51,200 --> 00:09:53,480 Speaker 3: Every book about the brain, and goodness mean, there's an 174 00:09:53,480 --> 00:09:56,120 Speaker 3: awful lot of them. Every book about the brain has 175 00:09:56,240 --> 00:10:00,400 Speaker 3: got to say how it works, whether it's quantums for 176 00:10:00,760 --> 00:10:03,680 Speaker 3: you know, whatever, computation, or you've got to have an explanation. 177 00:10:03,760 --> 00:10:06,480 Speaker 3: I said, well, there isn't one, right, and scientists, there 178 00:10:06,520 --> 00:10:10,080 Speaker 3: are various approaches that people have, but they're not they're 179 00:10:10,080 --> 00:10:13,400 Speaker 3: not agreed. There's no consensus on what's going on. And 180 00:10:13,440 --> 00:10:16,280 Speaker 3: in terms of the actual detail, we have absolutely no idea. 181 00:10:16,280 --> 00:10:18,520 Speaker 3: And scientists know this, and this kind of thing we 182 00:10:19,240 --> 00:10:24,160 Speaker 3: admit in late night bar conversations at conferences. And I said, 183 00:10:24,320 --> 00:10:26,720 Speaker 3: you know, we don't know. And that's so it's ended 184 00:10:26,840 --> 00:10:30,319 Speaker 3: up being that that's the that's the usp of the 185 00:10:30,360 --> 00:10:33,319 Speaker 3: book is that I'm honest and I try to I mean, 186 00:10:33,679 --> 00:10:37,200 Speaker 3: I try to set out the problems there are and 187 00:10:37,960 --> 00:10:42,640 Speaker 3: show the weaknesses there are with each approaches. And very gratifyingly, 188 00:10:44,240 --> 00:10:49,920 Speaker 3: the reviews in by euroscientists have all been really positive. 189 00:10:50,640 --> 00:10:52,720 Speaker 3: And I guess that's for two reasons. One is that 190 00:10:52,800 --> 00:10:57,760 Speaker 3: I'm you know, fairly and decently critical of everybody, so 191 00:10:58,200 --> 00:11:01,400 Speaker 3: no disfavored, and they can agree with some of my 192 00:11:01,480 --> 00:11:06,000 Speaker 3: critiques of their rivals. But secondly, as I said at 193 00:11:06,040 --> 00:11:07,959 Speaker 3: the beginning, I don't you know, I work on the 194 00:11:08,920 --> 00:11:11,760 Speaker 3: what's called the periphery, so the smell cells, rather than 195 00:11:11,760 --> 00:11:13,720 Speaker 3: the brain. So I'm not a player in this world, 196 00:11:14,000 --> 00:11:16,880 Speaker 3: so I'm not it kind of invested in any of 197 00:11:16,920 --> 00:11:19,120 Speaker 3: these theories. I can look at it quite dispassionately. 198 00:11:19,800 --> 00:11:22,199 Speaker 2: It is an amazing mechanism. I kind of think of 199 00:11:22,240 --> 00:11:26,240 Speaker 2: the brain as the computer of whatever we are. What 200 00:11:26,280 --> 00:11:27,000 Speaker 2: do you think of that? 201 00:11:27,920 --> 00:11:30,880 Speaker 3: Well, I mean that's one of the themes of the book, 202 00:11:30,920 --> 00:11:34,440 Speaker 3: which maybe we'll discuss later. I mean, it isn't. It isn't, 203 00:11:34,520 --> 00:11:37,080 Speaker 3: so it's fine to think about. Yeah, okay, so the 204 00:11:37,080 --> 00:11:39,120 Speaker 3: brain's doing this stuff, this complicated. I mean, you know, 205 00:11:39,160 --> 00:11:42,400 Speaker 3: you've got your computer, you've got a screen. You can 206 00:11:42,440 --> 00:11:44,960 Speaker 3: see it's doing stuff that you don't actually know what's 207 00:11:45,000 --> 00:11:47,439 Speaker 3: going on behind it. There is an architecture to it, 208 00:11:47,840 --> 00:11:52,600 Speaker 3: but it to the extent beyond that, I'm not sure 209 00:11:52,640 --> 00:11:55,800 Speaker 3: it's terribly helpful as a scientist. It's useful for the 210 00:11:55,880 --> 00:11:58,760 Speaker 3: general public and as a general idea of the kind 211 00:11:58,760 --> 00:12:01,040 Speaker 3: of things that are happening in you in your brain. 212 00:12:01,080 --> 00:12:02,600 Speaker 3: But I don't think it helps and it can be 213 00:12:02,679 --> 00:12:08,319 Speaker 3: misleading because you know, you've got your computer is very 214 00:12:08,360 --> 00:12:11,640 Speaker 3: carefully designed. It's got different bits that do different things. 215 00:12:11,720 --> 00:12:15,560 Speaker 3: It's got very clear what's called localization of function, different 216 00:12:15,559 --> 00:12:19,000 Speaker 3: bits of you of your computer, whatever it is. The 217 00:12:19,040 --> 00:12:23,920 Speaker 3: stuff that's controlling the internet, the stuff that's controlling the screen, 218 00:12:24,640 --> 00:12:27,440 Speaker 3: that's all a particular chip, a particular thing that has 219 00:12:27,480 --> 00:12:30,240 Speaker 3: been designed to do one thing, and is you know, 220 00:12:30,440 --> 00:12:33,680 Speaker 3: that's all it does. Whereas in your brain, although there 221 00:12:33,760 --> 00:12:36,440 Speaker 3: is some localization of function, there are bits of your 222 00:12:36,440 --> 00:12:40,400 Speaker 3: brain that you're involved in vision or controlling movement. It's 223 00:12:40,400 --> 00:12:45,760 Speaker 3: increasingly obvious that there's also a distributed aspect that is 224 00:12:45,800 --> 00:12:49,760 Speaker 3: that there is there are parts of this that there 225 00:12:49,760 --> 00:12:55,120 Speaker 3: are connections which alter even the most primitive of functions 226 00:12:55,840 --> 00:13:00,800 Speaker 3: depending on context. And furthermore, the brain's it's called plastic 227 00:13:00,880 --> 00:13:05,120 Speaker 3: it's got plasticity. So one of the things we're really 228 00:13:05,160 --> 00:13:08,200 Speaker 3: sure about, and have been sure about since the eighteen sixties, 229 00:13:08,679 --> 00:13:11,680 Speaker 3: is that what I'm doing now is controlled by a 230 00:13:11,840 --> 00:13:15,080 Speaker 3: very particular part of the brain, and that's speech. So 231 00:13:15,160 --> 00:13:18,800 Speaker 3: the front left hand side of your brain is involved 232 00:13:18,840 --> 00:13:22,120 Speaker 3: in the production of speech, and this is why somebody's 233 00:13:22,120 --> 00:13:25,240 Speaker 3: speech suddenly starts slurring, especially if they're quite old like me. 234 00:13:25,800 --> 00:13:27,959 Speaker 3: You've got to pay great attention and get them to 235 00:13:28,040 --> 00:13:30,320 Speaker 3: a hospital quickly because they may be having a stroke here. 236 00:13:30,720 --> 00:13:34,079 Speaker 3: This is how this area was identified because patients who'd 237 00:13:34,080 --> 00:13:37,520 Speaker 3: had strokes and lost their power of speech when they 238 00:13:37,559 --> 00:13:39,559 Speaker 3: died and their brains were looked at, they all have 239 00:13:39,760 --> 00:13:42,120 Speaker 3: lesions in this front left hand side of the brain. 240 00:13:42,400 --> 00:13:45,560 Speaker 3: So everybody's confident that speech is controlled there and if 241 00:13:45,600 --> 00:13:48,400 Speaker 3: you damage it, you're done for or you lose your 242 00:13:48,400 --> 00:13:51,520 Speaker 3: power of speech for a while. And then occasional who 243 00:13:51,559 --> 00:13:55,319 Speaker 3: we find most bizarre cases. There's a just released about 244 00:13:55,320 --> 00:13:58,040 Speaker 3: a year ago, a paper from about a woman in 245 00:13:58,080 --> 00:14:04,760 Speaker 3: America who has a college degree. She's absolutely normal, and 246 00:14:04,240 --> 00:14:07,520 Speaker 3: she heard that the group were doing some of these 247 00:14:07,520 --> 00:14:09,440 Speaker 3: scans on brains and she said, well, I think you 248 00:14:09,480 --> 00:14:11,040 Speaker 3: might want to look at my brain because I've been 249 00:14:11,040 --> 00:14:13,840 Speaker 3: told it's very interesting. So they put her in the 250 00:14:13,880 --> 00:14:18,360 Speaker 3: scan and then they said, oh, because the front left 251 00:14:18,400 --> 00:14:22,000 Speaker 3: side of her brain, there is nothing there there's a 252 00:14:22,040 --> 00:14:25,520 Speaker 3: big hole literally, and what they think happened is that 253 00:14:25,560 --> 00:14:29,000 Speaker 3: when she was in the womb, she had a there 254 00:14:29,040 --> 00:14:33,280 Speaker 3: was a stroke and the area was damaged. So there's 255 00:14:33,320 --> 00:14:36,680 Speaker 3: none of the language production centers the brain, and yet 256 00:14:36,800 --> 00:14:40,040 Speaker 3: some other part of her brain taken over that function. 257 00:14:41,120 --> 00:14:41,760 Speaker 2: That's amazing. 258 00:14:41,800 --> 00:14:44,160 Speaker 3: Your computer can't do that, right If I break the 259 00:14:44,680 --> 00:14:47,640 Speaker 3: chip that controls the screen, the part of it's going 260 00:14:47,680 --> 00:14:49,200 Speaker 3: to go, Okay, I'll do that instead. 261 00:14:49,640 --> 00:14:53,400 Speaker 2: Exactly exactly, Well, I was going to say, you know, 262 00:14:53,440 --> 00:14:56,160 Speaker 2: in some areas of the brain, if you have a tumor, 263 00:14:56,960 --> 00:15:01,680 Speaker 2: it starts to affect certain things, but sometimes people offset 264 00:15:01,760 --> 00:15:04,440 Speaker 2: that and you're so, you're right, yeah, I. 265 00:15:04,360 --> 00:15:07,280 Speaker 3: Mean the plasticity. I mean, you know, there are cases 266 00:15:07,320 --> 00:15:12,280 Speaker 3: of people who had terrible, terrible strokes that the medics say, look, 267 00:15:12,280 --> 00:15:14,320 Speaker 3: this is going to be incapacitating, blah blah blah, and 268 00:15:14,400 --> 00:15:17,640 Speaker 3: then they have made an amazing recovery. So is there 269 00:15:17,680 --> 00:15:20,800 Speaker 3: is plasticity. But I think it's more that we don't 270 00:15:20,880 --> 00:15:26,040 Speaker 3: understand enough about the detail of the brain to be 271 00:15:26,120 --> 00:15:29,720 Speaker 3: able to Our scans are so low resolution in fact, 272 00:15:30,160 --> 00:15:33,200 Speaker 3: that we don't understand enough about what's happened when such 273 00:15:33,760 --> 00:15:36,920 Speaker 3: damage occurs, so we don't understand the plasticity. I think 274 00:15:36,960 --> 00:15:40,840 Speaker 3: that's the real point. If it's early damage happens early, 275 00:15:41,000 --> 00:15:43,840 Speaker 3: as in the case of this woman, then you can, 276 00:15:44,040 --> 00:15:50,400 Speaker 3: if you're lucky, you will carry on perfectly normally. But again, 277 00:15:50,520 --> 00:15:55,200 Speaker 3: we really don't understand why that might take place, why 278 00:15:55,240 --> 00:15:57,880 Speaker 3: that can occur. But as a principle, there is this 279 00:15:57,960 --> 00:15:59,960 Speaker 3: plasticity that there is not in a machine. 280 00:16:00,560 --> 00:16:04,720 Speaker 2: Do you think, Matthew, emotion stems from the brain or 281 00:16:04,880 --> 00:16:07,520 Speaker 2: some other area, maybe the heart for example. 282 00:16:07,640 --> 00:16:10,920 Speaker 3: Well, I mean this is one of the interesting questions 283 00:16:10,920 --> 00:16:12,560 Speaker 3: of why we're interested in the brain at all. And 284 00:16:12,600 --> 00:16:15,680 Speaker 3: I start the book with this that you know, most cultures, 285 00:16:16,040 --> 00:16:18,600 Speaker 3: as far as we know, for most of our history, 286 00:16:19,600 --> 00:16:22,280 Speaker 3: people haven't been interested in the brain at all. They 287 00:16:22,320 --> 00:16:26,920 Speaker 3: have thought that emotion, feeling, spirit, whatever you want to 288 00:16:27,000 --> 00:16:30,520 Speaker 3: might call it, is based in some part of the body, 289 00:16:30,560 --> 00:16:33,480 Speaker 3: often in the heart. And if you think about it, 290 00:16:33,520 --> 00:16:35,760 Speaker 3: that's what it feels like. If you get excited, you 291 00:16:35,800 --> 00:16:38,400 Speaker 3: don't get excited in your brain. Generally you might do, 292 00:16:38,520 --> 00:16:40,760 Speaker 3: but in general it's some part of your body. You'll 293 00:16:40,960 --> 00:16:44,600 Speaker 3: heartile start pounding, you know, if you're frightened, then your 294 00:16:44,680 --> 00:16:49,920 Speaker 3: bowels might start churning, so that suggests that there's there's 295 00:16:49,920 --> 00:16:53,800 Speaker 3: something else going on here. And there was a very 296 00:16:53,800 --> 00:16:57,000 Speaker 3: famous neuroscience paper published about twenty five years ago which 297 00:16:57,080 --> 00:16:59,560 Speaker 3: might the title of which was very striking but might 298 00:16:59,600 --> 00:17:01,840 Speaker 3: sound a bit odd to listeners, and it was the 299 00:17:01,960 --> 00:17:04,760 Speaker 3: brain has a body. And what they were trying to 300 00:17:04,800 --> 00:17:06,800 Speaker 3: do was say, look, you know, we're not just this 301 00:17:07,320 --> 00:17:12,399 Speaker 3: computer sitting in our heads. Our brains are connected to 302 00:17:12,560 --> 00:17:16,240 Speaker 3: our bodies, to the various hormones that are coursing around them, 303 00:17:16,280 --> 00:17:19,520 Speaker 3: and now we know probably also being affected by things 304 00:17:19,560 --> 00:17:23,760 Speaker 3: like our microbiome in our guts and so and therefore 305 00:17:24,680 --> 00:17:27,359 Speaker 3: we need to have a much more whole body view 306 00:17:27,880 --> 00:17:31,239 Speaker 3: about not only us, but animals as well, what we 307 00:17:31,280 --> 00:17:33,119 Speaker 3: do and how we do it and why we do it. 308 00:17:33,200 --> 00:17:37,320 Speaker 3: So our perception of emotion, our perception of emotion is 309 00:17:37,480 --> 00:17:39,840 Speaker 3: very much bodily. We feel things in our body. That 310 00:17:39,840 --> 00:17:42,280 Speaker 3: have been loads of studies of this showing that for 311 00:17:42,440 --> 00:17:47,439 Speaker 3: the vast majority of emotions and feelings and concepts that 312 00:17:48,320 --> 00:17:52,240 Speaker 3: they are detected or perceived as being in various parts 313 00:17:52,240 --> 00:17:58,320 Speaker 3: of your body, not in your head. And when people say, well, 314 00:17:58,400 --> 00:18:00,000 Speaker 3: put things in their head, it's because they've been told 315 00:18:00,640 --> 00:18:01,959 Speaker 3: sit being told that it's in yet. 316 00:18:02,920 --> 00:18:06,200 Speaker 1: Listen to more Coast to Coast AM every weeknight at 317 00:18:06,240 --> 00:18:09,080 Speaker 1: one a m. Eastern and go to Coast to coastam 318 00:18:09,240 --> 00:18:10,280 Speaker 1: dot com for more