NeuroAI
Recent articles
Advances and insights on the intersection between neuroscience and artificial intelligence
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
When we sleep, our brain is filled with spontaneous neural activity. What is it doing?
Daniel Levenstein explains how internally generated brain activity during sleep shapes our cognition, and why NeuroAI is such a powerful approach to understanding the brain.
When we sleep, our brain is filled with spontaneous neural activity. What is it doing?
Daniel Levenstein explains how internally generated brain activity during sleep shapes our cognition, and why NeuroAI is such a powerful approach to understanding the brain.
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.
Explore more from The Transmitter
Remembering Barbara Finlay, ‘maverick’ of evolutionary neuroscience
Finlay, who died on 12 September, championed the idea that developmental constraints dictate how evolution sculpts brains, a concept she used to model the timing of hundreds of events and align them across mammalian species.
Remembering Barbara Finlay, ‘maverick’ of evolutionary neuroscience
Finlay, who died on 12 September, championed the idea that developmental constraints dictate how evolution sculpts brains, a concept she used to model the timing of hundreds of events and align them across mammalian species.
Crows have brains ‘in the fast lane’
The birds accurately complete decision-making tasks twice as fast as primates, although their endbrains look considerably different.
Crows have brains ‘in the fast lane’
The birds accurately complete decision-making tasks twice as fast as primates, although their endbrains look considerably different.
Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.
Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.