Manuel Casanova is professor of biomedical sciences and SmartState Endowed Chair in Translational Childhood Neurotherapeutics at the University of South Carolina School of Medicine and Greenville Health System.
Manuel Casanova
Professor
University of South Carolina
From this contributor
How the autonomic nervous system may govern anxiety in autism
The branch of the nervous system that regulates subconscious bodily processes such as breathing and digestion may play a key role in autism.
How the autonomic nervous system may govern anxiety in autism
By
Emily Casanova, Manuel Casanova
14 January 2020 | 4 min read
Analyzing postmortem brains for autism? Proceed with caution
Any study of postmortem brains must control for artifacts, which are pervasive in brain tissue.
Analyzing postmortem brains for autism? Proceed with caution
By
Manuel Casanova
5 March 2019 | 6 min read
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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.
By
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