Mark Johnson is professor of experimental psychology and head of the psychology department at the University of Cambridge in the United Kingdom.
Mark Johnson
Professor
Birkbeck University of London
From this contributor
Autism may arise from brain’s response to early disturbances
Autism is not a developmental disorder, but rather the brain’s adaptive response to early genetic or environmental disturbances, says Mark Johnson.
Autism may arise from brain’s response to early disturbances
Executive confusion
Among siblings of children with autism, those with better prefrontal cortex functioning — observable as relatively strong executive functions for their age — are better able to compensate for atypicalities in other brain systems early in life, and are therefore less likely to receive a diagnosis of autism later in their development, argues Mark H. Johnson.
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Autism-linked genes alter sleep behavior, and more
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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?