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
Beyond glucose: The brain may feed itself
Myelin may serve as an energy reserve for the brain, according to recent findings, prompting neuroscientists to rethink how the brain stores, shares and protects energy.
Beyond glucose: The brain may feed itself
Myelin may serve as an energy reserve for the brain, according to recent findings, prompting neuroscientists to rethink how the brain stores, shares and protects energy.
SHANK3-variant effects in primates, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 May.
SHANK3-variant effects in primates, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 May.
Brain’s blue spot possesses unexpected structure-function ties
The spatial arrangement of neurons in the locus coeruleus of mice corresponds with the cells’ targets across the brain, according to a new study.
Brain’s blue spot possesses unexpected structure-function ties
The spatial arrangement of neurons in the locus coeruleus of mice corresponds with the cells’ targets across the brain, according to a new study.