Pawan Sinha
Professor
Massachussetts Institute of Technology
From this contributor
Autism as a disorder of prediction in a ‘magical’ world
A struggle to predict what might happen next could account for the multiple, seemingly disparate, symptoms of autism, say Pawan Sinha, Margaret Kjelgaard and Annie Cardinaux.
Autism as a disorder of prediction in a ‘magical’ world
Vision as gateway for understanding autism
Impairments in vision, even if they don’t cause autism, are likely to be manifestations of underlying neural abnormalities, says Pawan Sinha, professor of vision and founder of the humanitarian organization Project Prakash.
Vision as gateway for understanding autism
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‘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.