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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Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.