Moses V. Chao is professor of cell biology, physiology and neuroscience, and psychiatry at the New York University School of Medicine. He is the recipient of a Zenith Award from the Alzheimer’s Association, a Jacob Javits Neuroscience Investigator Award and a Guggenheim Fellowship. He is also a fellow of the American Association for the Advancement of Science and past president of the Society for Neuroscience.
Moses V. Chao
Professor of cell biology, physiology and neuroscience, and psychiatry
New York University School of Medicine
From this contributor
The question of regeneration—an excerpt from ‘Periphery: How Your Nervous System Predicts and Protects Against Disease’
In his recent book, Moses Chao makes the case that the peripheral nervous system can warn of future illnesses.
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?