Fred Volkmar is professor of child psychiatry, pediatrics and psychology at the Yale Child Study Center.
Fred Volkmar
Professor
Yale Child Study Center
From this contributor
Narrowing of ‘autism’ in DSM-5 runs counter to idea of broad spectrum
The strict definition of autism in the latest version of the diagnostic manual is antithetical to the idea that autism comes in a wide variety of forms.
Narrowing of ‘autism’ in DSM-5 runs counter to idea of broad spectrum
Fred Volkmar: A decades-long perspective on autism research
Over the past 30 years, autism research pioneer Fred Volkmar says he has learned that researchers should be humble when assigning meaning to autism behavior, and seek to translate their findings into useful applications.
Fred Volkmar: A decades-long perspective on autism research
Explore more from The Transmitter
Arboreal deer mice reveal neural roots of dexterity
The rodents offered researchers an opportunity to link genetically driven changes in corticospinal abundance and morphology to climbing cachet.
Arboreal deer mice reveal neural roots of dexterity
The rodents offered researchers an opportunity to link genetically driven changes in corticospinal abundance and morphology to climbing cachet.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.