Computational neuroscience
Recent articles
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.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Explore more from The Transmitter
Nearly 400 compounds affect behaviors tied to autism-linked genes in zebrafish
Estropipate, paclitaxel and levocarnitine altered behaviors tied to SCN2A and DYRK1A variants specifically, a new open-source platform revealed.
Nearly 400 compounds affect behaviors tied to autism-linked genes in zebrafish
Estropipate, paclitaxel and levocarnitine altered behaviors tied to SCN2A and DYRK1A variants specifically, a new open-source platform revealed.
What neuroscientists want from a new NINDS director
The search is underway for the next director of the U.S. National Institute of Neurological Disorders and Stroke, who will face a range of challenges, neuroscientists say, but will also have an “immense opportunity to do good things.”
What neuroscientists want from a new NINDS director
The search is underway for the next director of the U.S. National Institute of Neurological Disorders and Stroke, who will face a range of challenges, neuroscientists say, but will also have an “immense opportunity to do good things.”
Arousal neurons’ activity explains brain’s blood flow dynamics in mice
The findings could influence how researchers interpret signals from techniques that use blood flow as a surrogate for neuronal activity.
Arousal neurons’ activity explains brain’s blood flow dynamics in mice
The findings could influence how researchers interpret signals from techniques that use blood flow as a surrogate for neuronal activity.