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.
Ann Kennedy explains the theoretical neuroscience of survival behaviors
The Scripps neuroscientist calls for a broader theoretical neuroscience approach in her area of research, which focuses on how the subcortex bridges life and cognition.
Ann Kennedy explains the theoretical neuroscience of survival behaviors
The Scripps neuroscientist calls for a broader theoretical neuroscience approach in her area of research, which focuses on how the subcortex bridges life and cognition.
Michael Breakspear and Mac Shine explain how brain processing changes across neural population scales
Breakspear and Shine find a scale-free property of brain activity that is conserved across diverse species, suggesting that a universal principle of brain activity underlies cognition.
Michael Breakspear and Mac Shine explain how brain processing changes across neural population scales
Breakspear and Shine find a scale-free property of brain activity that is conserved across diverse species, suggesting that a universal principle of brain activity underlies cognition.
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Chris Rozell explains how brain stimulation and AI are helping to treat mental disorders
Rozell and his colleagues, using deep brain stimulation and explainable artificial intelligence, have developed tools to help people with treatment-resistant depression.
Chris Rozell explains how brain stimulation and AI are helping to treat mental disorders
Rozell and his colleagues, using deep brain stimulation and explainable artificial intelligence, have developed tools to help people with treatment-resistant depression.
Jennifer Prendki explains why AI needs to emulate life
Prendki describes how her work on large artificial-intelligence models shaped her view that current AI needs inspiration from living organisms.
Jennifer Prendki explains why AI needs to emulate life
Prendki describes how her work on large artificial-intelligence models shaped her view that current AI needs inspiration from living organisms.
Keith Hengen and Woodrow Shew explore criticality and cognition
The two discuss their evolving views of brain criticality as a central organizing principle of cognition, development and learning.
Keith Hengen and Woodrow Shew explore criticality and cognition
The two discuss their evolving views of brain criticality as a central organizing principle of cognition, development and learning.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Nicole Rust on her new book, ‘Elusive Cures’
Rust discusses how understanding the brain as a complex dynamical system will help us accelerate treatments for brain disorders.
Nicole Rust on her new book, ‘Elusive Cures’
Rust discusses how understanding the brain as a complex dynamical system will help us accelerate treatments for brain disorders.
What do neuroscientists mean when they use the term ‘representation’?
A group of neuroscientists and philosophers discuss the use and misuse of the term "representation" across the cognitive sciences and how it influences the way we interpret the connection between neural, behavioral and mental activity.
What do neuroscientists mean when they use the term ‘representation’?
A group of neuroscientists and philosophers discuss the use and misuse of the term "representation" across the cognitive sciences and how it influences the way we interpret the connection between neural, behavioral and mental activity.
John Beggs unpacks the critical brain hypothesis
Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.
John Beggs unpacks the critical brain hypothesis
Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.
Explore more from The Transmitter
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Exclusive: The 23 studies the FDA based its expanded leucovorin label on
The studies include 46 people, mostly toddlers, who have cerebral folate deficiency due to variants in a folate transporter.
Exclusive: The 23 studies the FDA based its expanded leucovorin label on
The studies include 46 people, mostly toddlers, who have cerebral folate deficiency due to variants in a folate transporter.
Autism researchers ‘pleasantly surprised’ by list of NIH data project grantees, despite initial concerns
An atypical funding mechanism, truncated application timeline and opaque review process had generated concern over the quality of projects that would be selected for the Autism Data Science Initiative.
Autism researchers ‘pleasantly surprised’ by list of NIH data project grantees, despite initial concerns
An atypical funding mechanism, truncated application timeline and opaque review process had generated concern over the quality of projects that would be selected for the Autism Data Science Initiative.