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
To understand decision-making, we need to truly challenge lab animals
Complex, multidimensional tasks that unfold over time could reveal how different brain areas work together to support decisions.
To understand decision-making, we need to truly challenge lab animals
Complex, multidimensional tasks that unfold over time could reveal how different brain areas work together to support decisions.
‘Overdue’ debate unfurls over neuroimaging method
After a January paper questioned the validity of an approach called lesion network mapping, its users are pressure testing their results.
‘Overdue’ debate unfurls over neuroimaging method
After a January paper questioned the validity of an approach called lesion network mapping, its users are pressure testing their results.
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.