1994 Ph.D. Physics, Brown University
Dr. Shouval is interested in forming an integrated picture of learning, memory and development, processes that share many common mechanisms. His lab works to do this by developing mathematical models of the substrates of these processes and studying these models using both computer simulations and analytical techniques. Since they strive to develop an integrated theory that can account for these processes, their studies span many levels of description from the molecular basis of synaptic plasticity to the system level properties of the visual cortex. The research in his lab is always closely related to experimental studies, and Dr. Shouval has often collaborated with experimental labs.
Dr. Harel Shouval is currently Associate Professor in the Department of Neurobiology and Anatomy at the University of Texas Medical School in Houston. He holds an adjoint appointment at the Biomedical Engineering department at the University of Texas at Austin. Shouval received his Ph.D. in Physics from Brown University in 1994. Since arriving in Houston, Dr. Shouval has developed and is in charge of the Theoretical and Computational Neuroscience track of the graduate program. Together with colleagues from Rice University, the University of Houston, and the Baylor College of Medicine he has developed a joint training initiative, the Gulf Coast Consortium in Theoretical and Computational Neuroscience (GCC-TCN).
His research concentrates on mathematical and computational models of the nervous system. In particular, most of his efforts go into understanding the cellular basis of learning and memory. In his work, he develops simple yet biophysically based and experimentally testable models of synaptic plasticity to explain aspects of how learning and memory work in animals and humans. The scope of his work spans from the molecular to the system and behavioral levels, and much of his work is done in collaboration with experimentalists to test both the assumptions and predictions of his models. He has an extensive and highly cited publication record his papers have appeared is such journals as Nature, PNAS, Physical Review Letters, Neuron and The Journal of Neuroscience. His lab is supported by several research grants including two grants from the NIH.