Computational neuroscience
Recent articles
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.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
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When autistic kids grow up, Chapter 3: Would there be data?
Tempest McDonald takes a postdoctoral position at Vanderbilt University. Researching her paper accusing the National Institutes of Health of discrimination threatens everything she has built.
When autistic kids grow up, Chapter 3: Would there be data?
Tempest McDonald takes a postdoctoral position at Vanderbilt University. Researching her paper accusing the National Institutes of Health of discrimination threatens everything she has built.
Cousin comparison parses genetic effects in autism
The approach helps reveal whether maternal genes contribute directly to autism in children or have indirect effects on the prenatal environment.
Cousin comparison parses genetic effects in autism
The approach helps reveal whether maternal genes contribute directly to autism in children or have indirect effects on the prenatal environment.
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.