David Skuse
Professor
University College London
From this contributor
Few people mourn Asperger syndrome’s loss from diagnostic manuals
Our concept of autism has evolved over the past 20 years, rendering redundant the diagnostic labels of Asperger syndrome and pervasive developmental disorder-not otherwise specified.
Few people mourn Asperger syndrome’s loss from diagnostic manuals
Defining language deficits across autism spectrum
We are on the verge of a seismic shift in the definition of autism spectrum disorders, says David Skuse. Under proposed guidelines for autism diagnosis, the canard that most people with the disorder cannot speak, or have such disordered language that they cannot sustain a conversation, has been abandoned.
Defining language deficits across autism spectrum
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?