Richard A. Chance
illustrator
From this contributor
Stimulating the brain with Damien Fair
The MacArthur Foundation “genius” discusses his return to his home state of Minnesota and why it’s important to protect the developing brain.
Happy 1st Birthday, The Transmitter!
It takes a village to build something beautiful—and useful.
Timothy Ryan on his pivotal switch from studying particle physics to decoding synaptic transmission
Dissuaded from pursuing theoretical physics and deterred by the “long feedback loop” in experimental physics, the National Academy of Sciences member took inspiration from “polymath” Watt Webb and “visionary” Stephen Smith—and learned to work “completely outside his comfort zone.”
Timothy Ryan on his pivotal switch from studying particle physics to decoding synaptic transmission
Biosensors and being fearless with Lin Tian
Tian discusses protein function and structure, and the historic city in China where she was born.
Biosensors and being fearless with Lin Tian
Male and female brains, Proust, and Catherine Dulac
The 2021 Breakthrough Prize winner explains how reading widely shaped her worldview, and discusses the vomeronasal organ.
Male and female brains, Proust, and Catherine Dulac
Explore more from The Transmitter
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.