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
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Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.

Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.