Dr. Mario Dipoppa is an Assistant Professor in computational neuroscience in the Department of Neurobiology of the David Geffen School of Medicine at UCLA. He seeks to understand the neural mechanisms underlying cortical brain functions.
Dr. Dipoppa obtained his Ph.D. at Pierre and Marie Curie University (Sorbonne University) in Paris where he developed neural circuit models underlying working memory, under the guidance of Boris Gutkin. He then joined as a postdoc in the laboratory of Kenneth Harris and Matteo Carandini at University College London and was the recipient of the Marie Curie Fellowship. As a postdoc, Dr. Dipoppa combined computational models with large-scale neural recordings to study the mouse visual system. He then served as an Associate Research Scientist at the Center for Theoretical Neuroscience of Columbia University advised by Ken Miller. There, he combined deep learning with dynamical systems methods to study fundamental properties of visual computations.
Our Theoretical and Computational Neuroscience laboratory investigates how neural networks and dynamics in the cerebral cortex give rise to neural computations. To discover the governing principles of neural circuits, Dr. Dipoppa’s laboratory combines state-of-the-art approaches, including biologically realistic neural networks, artificial (deep and recurrent) neural networks, and encoding and decoding models.