Deborah Fein is Board of Trustees Distinguished Professor Emeritus in the Department of Psychological Sciences and the Department of Pediatrics at the University of Connecticut in Storrs.
Deborah Fein
Board of Trustees Distinguished Professor Emeritus
University of Connecticut
From this contributor
‘Prototypical autism’ research is likely a dead end
Efforts to define “frank” or “classic” forms of the condition build on several assumptions that the science has not yet borne out.
‘Prototypical autism’ research is likely a dead end
Journal club: Why do some children lose their autism diagnosis?
More than one-third of a cohort of autistic toddlers no longer meet criteria for the condition at school age, according to a new study, but the findings may not generalize because the cohort is predominantly white and affluent.
Journal club: Why do some children lose their autism diagnosis?
Screening toddlers for autism is worthwhile
A Norwegian study published in February suggested that the Modified Checklist for Autism in Toddlers fails to detect many cases of autism at 18 months of age. The creators of the test explain why there’s more to the story.
Screening toddlers for autism is worthwhile
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. Seven 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. Seven 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.