Michael Yassa.

Michael Yassa

Professor of neurobiology and behavior
University of California, Irvine

Michael Yassa is professor of neurobiology and behavior and James L. McGaugh Endowed Chair at the University of California, Irvine. His lab has been developing theoretical frameworks and noninvasive brain-imaging tools for understanding memory mechanisms in the human brain and applying this knowledge to human neurological and neuropsychiatric disease.

Yassa earned his B.A. in neuroscience and M.A. in psychological and brain sciences from Johns Hopkins University. He received his Ph.D. from the University of California, Irvine and began his career as assistant professor in the Department of Psychological and Brain Sciences at Johns Hopkins. He moved back to the University of California, Irvine in 2014 and has been director of the Center for the Neurobiology of Learning and Memory since 2016. Yassa also has served as associate dean of diversity, equity and inclusion in the Charlie Dunlop School of Biological Sciences since 2020, and he is currently chair of the Learning, Memory and Decision Neuroscience (LMDN) Study Section at the National Institutes of Health’s Center for Scientific Review.

Explore more from The Transmitter

Research image of resting-state functional activity in a human brain.

Developmental delay patterns differ with diagnosis; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 14 April.

By Jill Adams
15 April 2025 | 2 min read
Illustration of a treeline in front of a human brain.

‘Natural Neuroscience: Toward a Systems Neuroscience of Natural Behaviors,’ an excerpt

In his new book, published today, Nachum Ulanovsky calls on the field to embrace naturalistic conditions and move away from overcontrolled experiments.

By Nachum Ulanovsky
15 April 2025 | 9 min read
Close-up of high-resolution fMRI images.

Functional MRI can do more than you think

Recent technological advances provide a range of new and different information about brain physiology. But taking full advantage of these gains depends on collaboration between engineers and neuroscientists.

By Laura Lewis
14 April 2025 | 6 min read