Finding therapies for fragile X may depend on understanding the many ways the protein’s loss affects the brain.
Protein linked to intellectual disability has complex role (Links to an external site)
Author: Brian
Guoyan Zhao receives grant for single-cell proteomics in the human brain
Zhao, an assistant professor in the Department of Neuroscience, will apply imaging mass cytometry technology to analyze tissue samples from Alzheimer’s patients.
Serendipity unites physicians, researchers, families to fight rare genetic disease in kids (Links to an external site)
Groundbreaking cancer research helps shed light on recently identified disorder, Tatton Brown Rahman Syndrome.
New primer on logistic models for research in decision neuroscience
Camillo Padoa-Schioppa, PhD, has developed a manual of tools for analysis of economic choices.
Yi lab develops assay to solve mystery genetic variants
Assistant Professor Jason Yi’s group applied the technique to variants of unknown significance in UBE3A, the gene that underlies Angelman syndrome.
Yao Chen, PhD, receives grant from Mathers Foundation
The $500,000 award will go toward studying cellular influences on neuromodulator function.
Neuroanatomist: A profile of Matt Glasser, MD, PhD
As a graduate student in the Department of Neuroscience, Glasser came to be a leader in the Human Connectome Project.
The Department of Neuroscience Celebrates Tech Week
Our laboratory animal technicians are the backbone of basic research that relies on animal models.
Mohini Sengupta wins Mightex Research Excellence Award
Sengupta, a postdoc in Martha Bagnall’s lab, earned third place for illuminating the connectivity of spinal interneurons in zebrafish.
New study shows hierarchical and nonhierarchical network architectures between areas of mouse visual cortex
The Burkhalter lab finds that areas are embedded within a hierarchical network in which image fragments from the retina are sent through bottom-up pathways to extract percepts, and top-down pathways from higher to lower areas provide prior knowledge for interpreting the visual scene.