Brain Inspired
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This podcast, hosted by Paul Middlebrooks, features in-depth conversations with neuroscientists studying natural and artificial intelligence, philosophy, consciousness and other related areas.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Juan Gallego discusses how manifolds are transforming our understanding of the coordination of neuronal population activity
A wealth of evidence supports the view that neural manifolds are real and useful, Gallego says, even if they may not completely solve the age-old mind-body problem.
Juan Gallego discusses how manifolds are transforming our understanding of the coordination of neuronal population activity
A wealth of evidence supports the view that neural manifolds are real and useful, Gallego says, even if they may not completely solve the age-old mind-body problem.
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.
Michael Shadlen explains how theory of mind ushers nonconscious thoughts into consciousness
All of our thoughts, mostly nonconscious, are interrogations of the world, Shadlen says. The opportunity to report our answers to ourselves or others brings a thought into conscious awareness.
Michael Shadlen explains how theory of mind ushers nonconscious thoughts into consciousness
All of our thoughts, mostly nonconscious, are interrogations of the world, Shadlen says. The opportunity to report our answers to ourselves or others brings a thought into conscious awareness.
Tomaso Poggio on his quest for theories to explain the fundamental learning abilities of brains and machines
Thus far, engineering has outpaced theory in the science of intelligence. But Poggio is hopeful that theories can catch up.
Tomaso Poggio on his quest for theories to explain the fundamental learning abilities of brains and machines
Thus far, engineering has outpaced theory in the science of intelligence. But Poggio is hopeful that theories can catch up.
Alex Maier argues that a scientific explanation of consciousness requires grounding in formalized mathematics
When it comes to discovering laws of nature for consciousness similar to those in physics, Maier argues that integrated information theory is the only game in town.
Alex Maier argues that a scientific explanation of consciousness requires grounding in formalized mathematics
When it comes to discovering laws of nature for consciousness similar to those in physics, Maier argues that integrated information theory is the only game in town.
Can neuroscientists decode memories solely from a map of synaptic connections?
Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns.
Can neuroscientists decode memories solely from a map of synaptic connections?
Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Explore more from The Transmitter
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Arboreal deer mice reveal neural roots of dexterity
The rodents offered researchers an opportunity to link genetically driven changes in corticospinal abundance and morphology to climbing cachet.
Arboreal deer mice reveal neural roots of dexterity
The rodents offered researchers an opportunity to link genetically driven changes in corticospinal abundance and morphology to climbing cachet.