Computational neuroscience
Recent articles
Textbook model of hippocampus’s role in memory may need updating
The CA3 region, long thought to have just one circuit, has two, sporting different wiring and functions, a new preprint suggests.
Textbook model of hippocampus’s role in memory may need updating
The CA3 region, long thought to have just one circuit, has two, sporting different wiring and functions, a new preprint suggests.
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?
Explore more from The Transmitter
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.
Virus-like particles deliver gene-editing tools into Duchenne mouse model
The approach uses a protein found in fruit flies to ferry the gene editor Cas9 into muscle cells.
Virus-like particles deliver gene-editing tools into Duchenne mouse model
The approach uses a protein found in fruit flies to ferry the gene editor Cas9 into muscle cells.
Using antisense oligos to plumb rare genetic conditions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 3 August.
Using antisense oligos to plumb rare genetic conditions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 3 August.