Brain Inspired
Recent articles
This podcast, hosted by Paul Middlebrooks, features in-depth conversations with neuroscientists studying natural and artificial intelligence, philosophy, consciousness and other related areas.
Dean Buonomano explores the concept of time in neuroscience and physics
He outlines why he thinks integrated information theory is unscientific and discusses how timing is a fundamental computation in brains.
Dean Buonomano explores the concept of time in neuroscience and physics
He outlines why he thinks integrated information theory is unscientific and discusses how timing is a fundamental computation in brains.
Aran Nayebi discusses a NeuroAI update to the Turing test
And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.
Aran Nayebi discusses a NeuroAI update to the Turing test
And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Alison Preston explains how our brains form mental frameworks for interpreting the world
Preston discusses her research examining differences in how children, teenagers and adults integrate new information into their memories.
Alison Preston explains how our brains form mental frameworks for interpreting the world
Preston discusses her research examining differences in how children, teenagers and adults integrate new information into their memories.
Ciara Greene on the quirks and complexities of human episodic memory
Greene's book, “Memory Lane: The Perfectly Imperfect Ways We Remember,” explores the many factors that affect how we recall the events in our lives, from the mundane to the emotionally powerful.
Ciara Greene on the quirks and complexities of human episodic memory
Greene's book, “Memory Lane: The Perfectly Imperfect Ways We Remember,” explores the many factors that affect how we recall the events in our lives, from the mundane to the emotionally powerful.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
David Robbe challenges conventional notions of time and memory
Inspired by his own behavioral neuroscience research and the philosophy of Henri Bergson, Robbe makes the case that we don't have clocks in our brains but instead perceive time by way of our interactions with the world.
David Robbe challenges conventional notions of time and memory
Inspired by his own behavioral neuroscience research and the philosophy of Henri Bergson, Robbe makes the case that we don't have clocks in our brains but instead perceive time by way of our interactions with the world.
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Explore more from The Transmitter
Documenting decades of autism prevalence; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 28 April.
Documenting decades of autism prevalence; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 28 April.
‘Perturb and record’ optogenetics probe aims precision spotlight at brain structures
The tool provides a new way to characterize cells and study neuronal circuits.
‘Perturb and record’ optogenetics probe aims precision spotlight at brain structures
The tool provides a new way to characterize cells and study neuronal circuits.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.