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
Oregon primate center scientists fight proposed sanctuary transition
A group of employees have launched a series of campaigns to advocate for their work and argue against the center’s potential transition to an animal sanctuary.
Oregon primate center scientists fight proposed sanctuary transition
A group of employees have launched a series of campaigns to advocate for their work and argue against the center’s potential transition to an animal sanctuary.
When autistic kids grow up
An autistic researcher’s paper called attention to a huge disparity in autism funding research between children and adults. It nearly derailed her life.
When autistic kids grow up
An autistic researcher’s paper called attention to a huge disparity in autism funding research between children and adults. It nearly derailed her life.
The ‘secretly awesome’ side of a teaching career
The freedom to do “wacky” research projects that interest you is a major perk of the teaching stream, says Suzanne Wood, a teaching professor at the University of Toronto.
The ‘secretly awesome’ side of a teaching career
The freedom to do “wacky” research projects that interest you is a major perk of the teaching stream, says Suzanne Wood, a teaching professor at the University of Toronto.