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
When autistic kids grow up, Chapter 2: “You need to go to college”
With just a high school equivalency degree and struggling as a single mother, Tempest McDonald is forced to shift her priorities.
When autistic kids grow up, Chapter 2: “You need to go to college”
With just a high school equivalency degree and struggling as a single mother, Tempest McDonald is forced to shift her priorities.
Noncoding RNA sways core autism traits in mice
Small deletions in an X-linked RNA alter social and repetitive behaviors in male mice without broadly affecting learning or memory.
Noncoding RNA sways core autism traits in mice
Small deletions in an X-linked RNA alter social and repetitive behaviors in male mice without broadly affecting learning or memory.
Four protein synthesis pioneers win Kavli Prize in Neuroscience
Their research revealed how neurons synthesize proteins in previously unrecognized places.
Four protein synthesis pioneers win Kavli Prize in Neuroscience
Their research revealed how neurons synthesize proteins in previously unrecognized places.