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
Novel assembloid illuminates serotonin changes linked to 22q11.2 deletion
The combination of a serotonin-producing organoid with an organoid based on the developing cerebral cortex offers a new way to investigate neuromodulation.
Novel assembloid illuminates serotonin changes linked to 22q11.2 deletion
The combination of a serotonin-producing organoid with an organoid based on the developing cerebral cortex offers a new way to investigate neuromodulation.
Reporter’s notebook: Highlights from INSAR 2026
At the 25th annual meeting of the International Society for Autism Research, scientists, clinicians and self-advocates gathered to discuss topics such as autism genetics and the gap between clinical trials and real-world benefits.
Reporter’s notebook: Highlights from INSAR 2026
At the 25th annual meeting of the International Society for Autism Research, scientists, clinicians and self-advocates gathered to discuss topics such as autism genetics and the gap between clinical trials and real-world benefits.
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”