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.
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.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.
Daniel Nicholson discusses how Schrödinger’s book ‘What is Life?’ shaped years of biology, research
Combing through historical archives, Nicholson discovered what drove Erwin Schrödinger to pen “What Is Life,” his famous "little book": Schrödinger feared that new discoveries in quantum physics would influence how we think about free will.
Daniel Nicholson discusses how Schrödinger’s book ‘What is Life?’ shaped years of biology, research
Combing through historical archives, Nicholson discovered what drove Erwin Schrödinger to pen “What Is Life,” his famous "little book": Schrödinger feared that new discoveries in quantum physics would influence how we think about free will.
Explore more from The Transmitter
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
Portfolio of SCN2A gene variants, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 March.
Portfolio of SCN2A gene variants, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 March.
Hippocampus builds reputation as ‘general-purpose statistical learning machine’
New cross-species findings may help settle a long-standing debate about whether the hippocampus is required for passive learning.
Hippocampus builds reputation as ‘general-purpose statistical learning machine’
New cross-species findings may help settle a long-standing debate about whether the hippocampus is required for passive learning.