David Dobbs
Contributing writer
The Transmitter
From this contributor
Remembering Mark Hallett, leader in transcranial magnetic stimulation
The long-time NINDS researcher, best known for studying movement disorders, has died at age 82.
Remembering Mark Hallett, leader in transcranial magnetic stimulation
The new history of autism, part III
For decades, two figures have dominated the history of autism studies. Today, newly excavated documents are calling into question the primacy of these men as founders of the field.
The new history of autism, part II
For decades, two figures have dominated the history of autism studies. Today, newly excavated documents are calling into question the primacy of these men as founders of the field.
The new history of autism, part I
For decades, two figures have dominated the history of autism studies. Today, newly excavated documents are calling into question the primacy of these men as founders of the field.
Rethinking regression in autism
The loss of abilities that besets some toddlers with autism is probably less sudden and more common than anyone thought.
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.