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
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.