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.
Explore more from The Transmitter
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.