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
Infant Brain Imaging Study findings, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 23 March.
Infant Brain Imaging Study findings, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 23 March.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.