Mustafa Sahin is professor of neurology at Harvard University and director of the Translational Neuroscience Center at Boston Children’s Hospital.
Mustafa Sahin
Professor
Harvard University
From this contributor
Studies of tuberous sclerosis may shed light on biology of autism
Tuberous sclerosis provides a unique opportunity to understand autism because about half of people with that single-gene condition also have autism.
Studies of tuberous sclerosis may shed light on biology of autism
Insights for autism from tuberous sclerosis complex
Studying tuberous sclerosis provides researchers with a unique opportunity to find a common pathway among the various genetic causes of autism, says neurologist Mustafa Sahin.
Insights for autism from tuberous sclerosis complex
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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?