NeuroAI
Recent articles
Advances and insights on the intersection between neuroscience and artificial intelligence
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
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.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.
Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.
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.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
NeuroAI and the hidden complexity of agency
As we attempt to build autonomous artificial-intelligence systems, we're discovering that a capability we take for granted in animals may be much more complex than we imagined.
NeuroAI and the hidden complexity of agency
As we attempt to build autonomous artificial-intelligence systems, we're discovering that a capability we take for granted in animals may be much more complex than we imagined.
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.
The brain holds no exclusive rights on how to create intelligence
Many of the recent developments underlying the explosive success of artificial intelligence have diverged from using neuroscience as a source of inspiration—and the trend is likely to continue.
The brain holds no exclusive rights on how to create intelligence
Many of the recent developments underlying the explosive success of artificial intelligence have diverged from using neuroscience as a source of inspiration—and the trend is likely to continue.
Explore more from The Transmitter
Amina Abubakar translates autism research and care for Kenya
First an educator and now an internationally recognized researcher, the Kenyan psychologist is changing autism science and services in sub-Saharan Africa.
Amina Abubakar translates autism research and care for Kenya
First an educator and now an internationally recognized researcher, the Kenyan psychologist is changing autism science and services in sub-Saharan Africa.
Multisite connectome teams lose federal funding as result of Harvard cuts
The teams aim to develop tools to scale up mouse connectomics in preparation for eventually mapping an entire human brain.
Multisite connectome teams lose federal funding as result of Harvard cuts
The teams aim to develop tools to scale up mouse connectomics in preparation for eventually mapping an entire human brain.
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.