UC Santa Barbara General CatalogUniversity of California, Santa Barbara

Dynamical Neuroscience

Interdepartmental Graduate Program in Dynamical Neuroscience
Psychology East 1814 (Building 251)
Telephone: (805) 893-3636
E-mail: gradinfo@dynamicalneuroscience.ucsb.edu
Website: www.dynamicalneuroscience.ucsb.edu/
Program Chair: Greg Ashby


The Interdepartmental Graduate Program in Dynamical Neuroscience offers studies leading to the master of arts (M.A.) and doctor of philosophy (Ph.D.) degrees in dynamical neuroscience. This program recognizes the intrinsic interdisciplinary nature of neuroscience and the necessity for cross-disciplinary, graduate-level training through a program which brings together faculty located in seven departments on the UCSB campus. These include the departments of Chemical Engineering; Computer Science: Electrical and Computer Engineering; Mechanical Engineering; Molecular, Cellular and Developmental Biology; Psychological & Brain Sciences; and Physics. All participating faculty maintain strong research programs that accommodate students from both the Interdepartmental Graduate Program in Dynamical Neuroscience and their own individual departmental graduate programs.

Dynamical Neuroscience is an interdisciplinary field focused on the study of how the nervous system generates perception, behavior and cognition. It is a computational approach that goes beyond traditional structure/function correlations. The Interdepartmental Graduate Program in Dynamical Neuroscience emphasizes the integration of mathematical and computational methods, including approaches from computational cognitive neuroscience, network and complexity analyses, signal processing and machine learning. Therefore, research areas in the program span subfields in the biological and physical sciences, psychology and engineering. Students specialize in one of two areas—complex neural networks or computational vision—but they also receive more extensive training in dynamical neuroscience than can be provided within the framework of traditional departmental programs.


Chemical Engineering
Francis J. Doyle III, PhD, California Institute of Technology, Professor (systems biology, circadian rhythms, biomedical control, diabetes)

Computer Science
Matthew A. Turk, PhD, Massachusetts Institute of Technology, Professor (computer vision, human computer interaction, perceptual computing, artificial intelligence)

Electrical and Computer Engineering
Upamanyu Madhow, PhD, University of Illinois, Urbana, Professor (wireless communication, signal processing, networking)

B S. Manjunath, PhD, University of Southern California, Professor (image processing, computer vision, pattern recognition, neural networks, learning algorithms, content based search in multimedia databases)

Mechanical Engineering
Jeffrey M. Moehlis, PhD, UC Berkeley, Professor (nonlinear dynamics, fluid mechanics, biological dynamics, applied mathematics)

Molecular, Cellular, and Developmental Biology
Kenneth S. Kosik, MD, Medical College of Pennsylvania, Professor (neurodegeneration, Alzheimer's disease, stem cells, synaptic plasticity, microRNAs, evolution of the nervous system)

Psychological & Brain Sciences
F. Gregory Ashby, PhD, Purdue University, Professor (cognitive neuroscience, categorization, attention, decision processes in perception and cognition, mathematical psychology)

Miguel P. Eckstein, PhD, UC Los Angeles, Professor (computational models of human vision, visual search, attention, perceptual learning, perception of medical images)

Michael S. Gazzaniga, Ph.D., California Institute of Technology, Professor (cognitive neuroscience, neuroscience and the law, free will, dynamical systems, mind-brain interaction)

Barry Giesbrecht, Ph.D., University of Alberta, Canada, Associate Professor (cognitive neuroscience, attention, sports performance)

Scott T. Grafton, M.D., University of Southern California, Professor (cognitive neuroscience, goal-directed behavior, motor simulation, functional magnetic resonance imaging)

Michael B. Miller, Ph.D., Dartmouth College, Associate Professor (cognitive neuroscience, human memory and decision-making, functional magnetic resonance imaging)

Jean M. Carlson, Ph.D., Cornell University, Professor (robustness, tradeoffs, and feedback in complex, highly connected systems, prediction of large-scale behavior)