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
‘Slightly unhinged’ federal autism meeting portends unclear research priorities
The meeting last week sparked concerns about the latest Interagency Autism Coordinating Committee’s ability to perform its core function: developing a strategy to support autism research.
‘Slightly unhinged’ federal autism meeting portends unclear research priorities
The meeting last week sparked concerns about the latest Interagency Autism Coordinating Committee’s ability to perform its core function: developing a strategy to support autism research.
Ehud Ahissar offers a new kind of dualism for neuroscience
He explains how “perceptual dualism” can account for the way we communicate via digital symbols and perceive the world via analog brain processes.
Ehud Ahissar offers a new kind of dualism for neuroscience
He explains how “perceptual dualism” can account for the way we communicate via digital symbols and perceive the world via analog brain processes.
Microglia in hypothalamus help kick-start puberty
In a “surprise” role, the cells regulate the neurons that produce gonadotropin-releasing hormone.
Microglia in hypothalamus help kick-start puberty
In a “surprise” role, the cells regulate the neurons that produce gonadotropin-releasing hormone.