James Harris is professor of psychiatry and behavioral sciences at Johns Hopkins University School of Medicine in Baltimore, where he is founding director of the Developmental Neuropsychiatry Clinic. He is also a professor at Johns Hopkins Bloomberg School of Public Health. He served on the American Psychiatric Association committee that wrote the new definition of autism spectrum disorder for the DSM-5.
James Harris
Professor of psychiatry and behavioral sciences
Johns Hopkins University School of Medicine
From this contributor
Correcting the record: Leo Kanner and the broad autism phenotype
The specter of the ‘refrigerator mother’ theory continues to haunt the history of autism. New information puts Kanner’s observations of parents into context.
Correcting the record: Leo Kanner and the broad autism phenotype
By
James Harris, Joseph Piven
26 April 2016 | 10 min read
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Autism-linked genes alter sleep behavior, and more
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Jill Adams
14 April 2026 | 2 min read
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.
By
Erin Calipari
14 April 2026 | 5 min read
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?
By
Juan Gallego
13 April 2026 | 8 min read