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
Study questions DSM-5’s combining of autism traits
Sensory traits and restricted and repetitive behaviors are best understood as distinct but related characteristics, the new work suggests.
Study questions DSM-5’s combining of autism traits
Sensory traits and restricted and repetitive behaviors are best understood as distinct but related characteristics, the new work suggests.
After the ‘Thank you’ slide: When lived trauma enters trauma neuroscience
Trauma researchers need professional norms that allow brief, humane acknowledgment when acute trauma directly affects a scientific community.
After the ‘Thank you’ slide: When lived trauma enters trauma neuroscience
Trauma researchers need professional norms that allow brief, humane acknowledgment when acute trauma directly affects a scientific community.
Redefining underrepresentation in global neuroscience
Shifting the focus of equity initiatives from identity categories to structural barriers can reveal overlooked challenges and increase support and participation worldwide.
Redefining underrepresentation in global neuroscience
Shifting the focus of equity initiatives from identity categories to structural barriers can reveal overlooked challenges and increase support and participation worldwide.