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
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.
Redefinindo a sub-representação na neurociência mundial
Mudar o foco das iniciativas de equidade das categorias identitárias para as barreiras estruturais pode revelar desafios negligenciados e aumentar o apoio e a participação em todo o mundo.
Redefinindo a sub-representação na neurociência mundial
Mudar o foco das iniciativas de equidade das categorias identitárias para as barreiras estruturais pode revelar desafios negligenciados e aumentar o apoio e a participação em todo o mundo.
Redefiniendo la subrepresentación en la neurociencia global
Si se cambia el enfoque de las iniciativas de promoción de equidad desde categorías de identidad a barreras estructurales, se revelan desafíos que habían pasado desapercibidos que pueden aumentar la participación a nivel mundial.
Redefiniendo la subrepresentación en la neurociencia global
Si se cambia el enfoque de las iniciativas de promoción de equidad desde categorías de identidad a barreras estructurales, se revelan desafíos que habían pasado desapercibidos que pueden aumentar la participación a nivel mundial.