Charles A. Nelson is professor of pediatrics and neuroscience at Harvard Medical School and director of research at Boston Children’s Hospital’s Developmental Medicine Center.
Charles A. Nelson
Research director
Boston Children's Hospital
From this contributor
How separating children from parents causes irreparable harm
Science teaches us that housing children in institution-like settings is likely to cause severe and permanent damage to their minds and bodies.
How separating children from parents causes irreparable harm
By
Charles A. Nelson
26 June 2018 | 4 min read
Romanian orphans reveal clues to origins of autism
Understanding autism features in children who were deprived of social contact as infants could offer clues to the condition.
Romanian orphans reveal clues to origins of autism
By
Charles A. Nelson
25 April 2017 | 6 min read
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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
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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