Amy Esler is associate professor of pediatrics at the University of Minnesota in Minneapolis.
Amy Esler
Assistant Professor of Pediatrics
University of Minnesota
From this contributor
Why we need a mouse version of a diagnostic test for autism
Researchers have developed behavioral measures that can accurately diagnose autism in people; these lessons can and should be applied to mice.
Why we need a mouse version of a diagnostic test for autism
By
Amy Esler, Nicola Grissom
21 March 2018 | 6 min read
Adjusting diagnostic tests for the DSM-5
As clinicians adopt the new criteria for autism, the many tests now used to diagnose the disorder may need to be modified, says Amy Esler.
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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.
By
Michael W. Cole
3 November 2026 | 9 min read
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
2 November 2026 | 0 min watch