Director of the Lieber Institute for Brain Development and Professor, Departments of Psychiatry, Neurology, Neuroscience and The Institute of Genetic Medicine, Johns Hopkins University.
Daniel R. Weinberger
Professor
Johns Hopkins University
From this contributor
Pitt-Hopkins syndrome may point the way to autism treatments
Researchers have identified a drug that works in individual cells and rodent models of a form of autism known as Pitt-Hopkins syndrome.
Pitt-Hopkins syndrome may point the way to autism treatments
By
Daniel R. Weinberger, The Conversation
1 May 2019 | 6 min read
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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.
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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.
By
Jill Adams
3 November 2026 | 2 min read
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.
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Natalia Mesa
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