Tiffany Woynaroski is assistant professor of hearing and speech sciences at Vanderbilt University Medical Center, Vanderbilt Kennedy Center, Vanderbilt Brain Institute, and Frist Center for Autism and Innovation in Nashville, Tennessee.
Tiffany Woynaroski
Assistant professor
Vanderbilt University
From this contributor
Common sensory response scores may miss important variations
A person’s “overall” score on sensory-seeking, hyperreactive or hyporeactive tendencies may obscure nuances in their individual sensory experience.
Common sensory response scores may miss important variations
Errors of omission: Why we are deeply concerned about research on autism therapies
Studies of autism treatments rarely report adverse events, and the scientists involved often fail to disclose their conflicts of interest.
Errors of omission: Why we are deeply concerned about research on autism therapies
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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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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.