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
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‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.