Computational neuroscience
Recent articles
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
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.
Explore more from The Transmitter
Three models, three routes to altered auditory processing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 August.
Three models, three routes to altered auditory processing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 August.
Optimized two-photon microscopy enables voltage imaging at multiple depths
The tool could reveal how information flows within and between cortical layers during neural processing.
Optimized two-photon microscopy enables voltage imaging at multiple depths
The tool could reveal how information flows within and between cortical layers during neural processing.
O que significa ‘lar’ para Martín Giurfa
O pesquisador especializado em cognição de insetos já trabalhou em vários continentes, mas a Argentina nunca está longe de seus pensamentos.
O que significa ‘lar’ para Martín Giurfa
O pesquisador especializado em cognição de insetos já trabalhou em vários continentes, mas a Argentina nunca está longe de seus pensamentos.