Computational neuroscience
Recent articles
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.
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?
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Explore more from The Transmitter
Purkinje cells evolved to have increasingly complex architecture
An increasing proportion of the cerebellar neurons acquired multiple primary dendrites in humans and other apes, according to a comparison of 11 primate species.
Purkinje cells evolved to have increasingly complex architecture
An increasing proportion of the cerebellar neurons acquired multiple primary dendrites in humans and other apes, according to a comparison of 11 primate species.
Making waves: Sleep-like brain activity in awake mice lowers sleep need, boosts memory
Alternating on/off firing patterns don’t just characterize deep, slow-wave sleep, they drive some of its restorative benefits, new findings suggest.
Making waves: Sleep-like brain activity in awake mice lowers sleep need, boosts memory
Alternating on/off firing patterns don’t just characterize deep, slow-wave sleep, they drive some of its restorative benefits, new findings suggest.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.