Richard Delorme is head of the Center of Excellence for Autism Spectrum Disorders and Neurodevelopmental Disorders (InovAND) and head of the Department of Child and Adolescent Psychiatry at the Robert Debré Hospital, both in Paris, France. He has a broad background in child psychiatry and genetics, with expertise in the identification of biomarkers in rare diseases associated with autism. He is also a researcher at the Human Genetics and Cognitive Functions Laboratory at the Institut Pasteur, in Paris. In recent years, he has been involved in several research programs, brain imaging studies and IPSC-based drug screening technology. He is an author on more than 100 publications.
Richard Delorme
Head
Center of Excellence for Autism Spectrum Disorders and Neurodevelopmental Disorders
From this contributor
Coronavirus tool kit may aid families with autistic children during lockdown
To help families cope with the sudden loss of professional support during the pandemic, one team in France has created a set of resources and information.
Coronavirus tool kit may aid families with autistic children during lockdown
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?