A paradox of learning
Many Minds
How do we learn? Usually from experience, of course. Maybe we visit some new place, or encounter a new tool or trick. Or perhaps we learn from someone else—from a a teacher or friend or YouTube star who relays some shiny new fact or explanation. These are the kinds of experiences you probably first think of when you think of learning. But we can also learn in another way: simply by thinking. Sometimes we can just set our minds to work—just let the ideas already in our heads tumble around and spark off each other—and, is if by magic, come away with a new understanding of the world. But...
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From the archive: The octopus and the android
Many Minds
Happy holidays, friends! We will be back with a new episode in January 2025. In the meantime, enjoy this favorite from our archives! ----- [originally aired Jun 14, 2023] Have you heard of Octopolis? It’s a site off the coast of Australia where octopuses come together. It’s been described as a kind of underwater "settlement" or "city." Now, smart as octopuses are, they are not really known for being particularly sociable. But it seems that, given the right conditions, they can shift in that direction. So it's not a huge leap to wonder whether these kinds of cephalopod congregations could...
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Your brain on language
Many Minds
Using language is a complex business. Let's say you want to understand a sentence. You first need to parse a sequence of sounds—if the sentence is spoken—or images—if it's signed or written. You need to figure out the meanings of the individual words and then you need to put those meanings together to form a bigger whole. Of course, you also need to think about the larger context—the conversation, the person you're talking to, the kind of situation you're in. So how does the brain do all of this? Is there just one neural system that deals with language or several? Do different...
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Nestcraft
Many Minds
How do birds build their nests? By instinct, of course—at least that's what the conventional wisdom tells us. A swallow builds a swallow's nest; a robin builds a robin's nest. Every bird just follows the rigid template set down in its genes. But over the course of the last couple of decades, scientists have begun to take a closer look at nests—they've weighed and measured them, they've filmed the building process. And the conventional wisdom just doesn't hold up. These structures vary in all kinds of ways, even within a species. They're shaped by experience, by learning, by cultural...
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Animal, heal thyself
Many Minds
What happens to animals when they get sick? If they’re pets or livestock, we probably call the vet. And the vet may give them drugs or perform a procedure. But what about wild animals? Do they just languish in misery? Well, not so much. It turns out that animals—from bees to butterflies, porcupines to primates—medicate themselves. They seek out bitter plants, they treat wounds, they amputate limbs, they eat clay—the list goes on. This all raises an obvious question: How do they know to do this? How do they know what they know about healing and medicine? It also invites a related...
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The rise of machine culture
Many Minds
The machines are coming. Scratch that—they're already here: AIs that propose new combinations of ideas; chatbots that help us summarize texts or write code; algorithms that tell us who to friend or follow, what to watch or read. For a while the reach of intelligent machines may have seemed somewhat limited. But not anymore—or, at least, not for much longer. The presence of AI is growing, accelerating, and, for better or worse, human culture may never be the same. My guest today is . Iyad directs the at the Max Planck Institute for Human Development in Berlin. Iyad is a...
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How should we think about IQ?
Many Minds
IQ is, to say the least, a fraught concept. Psychologists have studied IQ—or g for “general cognitive ability”—maybe more than any other psychological construct. And they’ve learned some interesting things about it. That it's remarkably stable over the lifespan. That it really is general: people who ace one test of intellectual ability tend to ace others. And that IQs have risen markedly over the last century. At the same time, IQ seems to be met with increasing squeamishness, if not outright disdain, in many circles. It's often seen as crude, misguided, reductive—maybe a whole lot...
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Rethinking the "wood wide web"
Many Minds
Forests have always been magical places. But in the last couple decades, they seem to have gotten a little more magical. We've learned that trees are connected to each other through a vast underground network—an internet of roots and fungi often called the "wood wide web". We've learned that, through this network, trees share resources with each other. And we've learned that so-called mother trees look out for their own offspring, preferentially sharing resources with them. There's no question that this is all utterly fascinating. But what if it's also partly a fantasy? My guest today is ....
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Electric ecology
Many Minds
There's a bit of a buzz out there, right now, but maybe you haven’t noticed. It's in the water, it's in the air. It's electricity—and it's all around us, all the time, including in some places you might not have expected to find it. We humans, after all, are not super tuned in to this layer of reality. But many other creatures are—and scientists are starting to take note. My guest today is . Sam is a sensory ecologist at the Natural History Museum in Berlin, and one of a handful of scientists uncovering some shocking things about the role of electricity in the natural world. Here, Sam...
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The nature of nurture
Many Minds
The idea of a "maternal instinct"—the notion that mothers are wired for nurturing and care—is a familiar one in our culture. And it has a flipside, a corollary—what you might call “paternal aloofness.” It's the idea that men just aren't meant to care for babies, that we have more, you know, manly things to do. But when you actually look at the biology of caretaking, the truth is more complicated and much more interesting. My guest today is . She is Professor Emerita of Anthropology at the University of California, Davis and the author of the new book, . In it, she examines...
info_outlineUsing language is a complex business. Let's say you want to understand a sentence. You first need to parse a sequence of sounds—if the sentence is spoken—or images—if it's signed or written. You need to figure out the meanings of the individual words and then you need to put those meanings together to form a bigger whole. Of course, you also need to think about the larger context—the conversation, the person you're talking to, the kind of situation you're in. So how does the brain do all of this? Is there just one neural system that deals with language or several? Do different parts of the brain care about different aspects of language? And, more basically: What scientific tools and techniques should we be using to try to figure this all out?
My guest today is Dr. Ev Fedorenko. Ev is a cognitive neuroscientist at MIT, where she and her research group study how the brains supports language and complex thought. Ev and her colleagues recently wrote a detailed overview of their work on the language network—the specialized system in our brain that underlies our ability to use language. This network has some features you might have expected, and—as we’ll see—other features you probably didn't.
Here, Ev and I talk about the history of our effort to understand the neurobiology of language. We lay out the current understanding of the language network, and its relationship to the brain areas historically associated with language abilities—especially Broca's area and Wernicke's area. We talk about whether the language network can be partitioned according to the subfields of linguistics, such as syntax and semantics. We discuss the power and limitations of fMRI, and the advantages of the single-subject analyses that Ev and her lab primarily use. We consider how the language network interfaces with other major neural networks—for instance, the theory of mind network and the so-called default network. And we discuss what this all tells us about the longstanding controversial claim that language is primarily for thinking rather than communicating.
Along the way, Ev and I touch on: some especially interesting brains; plasticity and redundancy; the puzzle of lateralization; polyglots; aphasia; the localizer method; the decline of certain Chomskyan perspectives; the idea that brain networks are "natural kinds"; the heart of the language network; and the question of what the brain may tell us—if anything—about how language evolved.
Alright friends, this is a fun one. On to my conversation with Dr. Ev Fedorenko. Enjoy!
A transcript of this episode is available here.
Notes and links
3:00 – The article by a New York Times reporter who is missing a portion of her temporal lobe. The website for the Interesting Brains project.
5:30 – A recent paper from Dr. Fedorenko’s lab on the brains of three siblings, two of whom were missing portions of their brains.
13:00 – Broca’s original 1861 report.
18:00 – Many of Noam Chomsky’s ideas about the innateness of language and the centrality of syntax are covered in his book Language and Mind, among other publications.
19:30 – For an influential critique of the tradition of localizing functions in the brain, see William R. Uttal’s The New Phrenology.
23:00 – The new review paper by Dr. Fedorenko and colleagues on the language network.
26:00 – For more discussion of the different formats or modalities of language, see our earlier episode with Dr. Neil Cohn.
30:00 – A classic paper by Herbert Simon on the “architecture of complexity.”
31:00 – For one example of a naturalistic, “task-free” study that reveals the brain’s language network, see here.
33:30 – See the recent paper arguing “against cortical reorganization.”
33:00 – For more on the concept of “natural kind” in philosophy, see here.
38:00 – On the “multiple-demand network,” see a recent study by Dr. Fedorenko and colleagues.
41:00 – For a study from Dr. Fedorenko’s lab finding that syntax and semantics are distributed throughout the language network, see here. For an example of work in linguistics that does not make a tidy distinction between syntax and semantics, see here.
53:30 – See Dr. Fedorenko’s recent article on the history of individual-subject analyses in neuroscience.
1:01:00 – For an in-depth treatment of one localizer used in Dr. Fedorenko’s research, see here.
1:03:30 – A paper by Dr. Stephen Wilson and colleagues, describing recovery of language ability following stroke as a function of the location of the lesion within the language network.
1:04:20 – A paper from Dr. Fedorenko’s lab on the small language networks of polyglots.
1:09:00 – For more on the Visual Word Form Area (or VWFA), see here. For discussion of Exner’s Area, see here.
1:14:30 – For a discussion of the brain’s so-called default network, see here.
1:17:00 – See here for Dr. Fedorenko and colleagues’ recent paper on the function of language. For more on the question of what language is for, see our earlier episode with Dr. Nick Enfield.
1:19:00 – A paper by Dr. Fedorenko and Dr. Rosemary Varley arguing for intact thinking ability in patients with aphasia.
1:22:00 – A recent paper on individual differences in the experience of inner speech.
Recommendations
Dr. Ted Gibson’s book on syntax (forthcoming with MIT press)
Nancy Kanwisher, ‘Functional specificity in the human brain’
Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by Kensy Cooperrider, with help from Assistant Producer Urte Laukaityte and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by Ben Oldroyd. Our transcripts are created by Sarah Dopierala.
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