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
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.