David Amaral is distinguished professor of psychiatry and behavioral sciences at the University of California, Davis MIND Institute.
David Amaral
Director
Autism BrainNet
From this contributor
‘Prototypical autism’ research is likely a dead end
Efforts to define “frank” or “classic” forms of the condition build on several assumptions that the science has not yet borne out.
‘Prototypical autism’ research is likely a dead end
Questions for Amaral, Halladay: Boosting brainpower
A new network of brain banks aims to collect and disburse tissue donations to U.S. autism researchers.
Questions for Amaral, Halladay: Boosting brainpower
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.