Rebecca Saxe’s work addresses the human brain’s capacity for abstract thought and the origins of ‘theory of mind,’ the ability to understand the beliefs, hopes and plans of other people.
Rebecca Saxe
Professor
Massachussetts Institute of Technology
From this contributor
U.S. agency backtracks on broad interpretation of ‘clinical trial’
Autism researchers need no longer worry that their basic research will become entangled in the red tape associated with clinical trials.
U.S. agency backtracks on broad interpretation of ‘clinical trial’
By
Hannah Furfaro
6 February 2018 | 6 min read
1985 paper on the theory of mind
In 1985, Simon Baron-Cohen, Alan Leslie and Uta Frith reported for the first time that children with autism systematically fail the false belief task.
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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