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The Transmitter’s favorite features of 2024
Our chosen stories include tales about research misconduct in the lab, a neuroscientist working at the end of the world, and the passing of neuroanatomy’s “great-grandfather,” Harvey Karten.
The Transmitter’s favorite features of 2024
Our chosen stories include tales about research misconduct in the lab, a neuroscientist working at the end of the world, and the passing of neuroanatomy’s “great-grandfather,” Harvey Karten.
Going deep: The Transmitter’s top long-form stories in 2023
Our favorite features and book excerpts from the past year delved into the neurobiology of cancer; problems with survey data; free will; mathematical minds; and questions around one startup’s quest to treat brain conditions with cell therapies.
Going deep: The Transmitter’s top long-form stories in 2023
Our favorite features and book excerpts from the past year delved into the neurobiology of cancer; problems with survey data; free will; mathematical minds; and questions around one startup’s quest to treat brain conditions with cell therapies.
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Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘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.