NeuroAI
Recent articles
Advances and insights on the intersection between neuroscience and artificial intelligence
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s reading list: Six upcoming neuroscience books, plus notable titles in 2025
Dig into an exploration of the fundamental aspects of intelligence, a new textbook about theoretical neuroscience and a memoir about memory research, among other new releases.
The Transmitter’s reading list: Six upcoming neuroscience books, plus notable titles in 2025
Dig into an exploration of the fundamental aspects of intelligence, a new textbook about theoretical neuroscience and a memoir about memory research, among other new releases.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
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.
Explore more from The Transmitter
Maternity induces lasting gene-expression changes in mouse brains
The findings add to a small but growing body of research on neurological changes linked to pregnancy, birth and parenting.
Maternity induces lasting gene-expression changes in mouse brains
The findings add to a small but growing body of research on neurological changes linked to pregnancy, birth and parenting.
IQ’s link to brain structure, function in children may be a mirage
A child’s socioeconomic status, screen time and amount of sleep all show stronger associations with measures of brain structure and function, according to an imaging study of nearly 12,000 9- to 10-year-olds.
IQ’s link to brain structure, function in children may be a mirage
A child’s socioeconomic status, screen time and amount of sleep all show stronger associations with measures of brain structure and function, according to an imaging study of nearly 12,000 9- to 10-year-olds.
When autistic kids grow up, Chapter 2: “You need to go to college”
With just a high school equivalency degree and struggling as a single mother, Tempest McDonald is forced to shift her priorities.
When autistic kids grow up, Chapter 2: “You need to go to college”
With just a high school equivalency degree and struggling as a single mother, Tempest McDonald is forced to shift her priorities.