Liz Pellicano is professor of autism at University College London in the United Kingdom
Liz Pellicano
Director, Centre for Research in Autism and Education
University College London
From this contributor
We need better strategies to support autistic people as the COVID-19 crisis continues
Interviews with autistic people reveal that many miss their friends and opportunities for social connection, in stark contrast to orthodox views that they have little social motivation and prefer a life of self-isolation.
We need better strategies to support autistic people as the COVID-19 crisis continues
General practitioners urgently need autism training
Many general practitioners in the United Kingdom do not receive autism training, and report having little confidence in caring for patients on the spectrum.
General practitioners urgently need autism training
Friendships pose unique challenges for women on the spectrum
Women with autism value friendships as much as their neurotypical peers do, but they often have difficulty forming and maintaining them.
Friendships pose unique challenges for women on the spectrum
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.