Michael E. Goldberg is David Mahoney Professor of Brain and Behavior in the departments of neuroscience, neurology, psychiatry and ophthalmology at Columbia University College of Physicians and Surgeons, director of the Mahoney-Keck Center for Brain and Behavior Research, and is an active clinical neurologist. His neuroscience research focuses on the physiological basis of cognitive processes such as visual attention, spatial perception and decision-making. He earned his M.D. from Harvard Medical School in 1968. From 1978 to 2001, Goldberg was a senior investigator at the Laboratory of Sensorimotor Research at the National Eye Institute in Bethesda, Maryland. He is a fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science, and an elected member of the National Academy of Sciences. He is a past president of the Society for Neuroscience, and now chair of the society’s Committee on Animals in Research.
Michael E. Goldberg
David Mahoney Professor of Brain and Behavior
Columbia University
Explore more from The Transmitter
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.