Computational neuroscience
Recent articles
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.
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.
Explore more from The Transmitter
A new atlas of abstracts visualizes the field of human brain mapping—where does your work fit?
Satrajit Ghosh talks to Mac Shine about a community-built tool that places every abstract from the 2026 Organization for Human Brain Mapping meeting inside a semantic map of the broader neuroscience literature. Finding your neighbors in that space might matter more than you think.
A new atlas of abstracts visualizes the field of human brain mapping—where does your work fit?
Satrajit Ghosh talks to Mac Shine about a community-built tool that places every abstract from the 2026 Organization for Human Brain Mapping meeting inside a semantic map of the broader neuroscience literature. Finding your neighbors in that space might matter more than you think.
Key role of interferon 1 in maternal immune activation, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 June.
Key role of interferon 1 in maternal immune activation, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 June.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.