Neural Systems Analysis Neural engineering applies quantitative engineering principles to understand and model circuit operations in the nervous system, to determine their relationship to behavior, and to design devices to interface with this circuitry. This emerging field draws from many disciplines, including computational neuroscience, neurobiology, electrophysiology, information theory, electronics, control systems, mathematical modeling, imaging, biomaterials and tissue engineering. Theoretical and computational approaches have become critical tools in the evaluation of the nervous system. Therefore, combined experimental and theoretical approaches are most promising to understand the operation of the brain and to explain behavior by the underlying neuronal mechanisms. Many faculty of the program are currently working on these aspects with the help of a significant number of bioengineering students. The computational and experimental neuroscience in the program utilizes many approaches, including information-theoretic characterizations of neural coding and representation; nonlinear analysis of neural responses; and models of sensory and motor system. In addition, a variety of neuroscientific methods in animals and humans such as single-unit physiology, EEG, MEG, transcranial magnetic stimulation, and functional MRI are utilized. Modeling of neural systems focuses particularly on biologically relevant and plausible implementations that can be tested experimentally. Using these approaches, our students and faculty have made substantial progress in understanding the organization and function of neural circuits in sensory cortex (vision, audition, somato-sensation, vestibular), the neural mechanisms of motor planning, learning, and memory (e.g. in eye movements, in visually guided reaching, and in vocalization); learning and memory in the cerebral cortex; and development and plasticity in vision, somato-sensation and audition. Other applications in neuroscience abound, all hinge on innovative utilization of computational and quantitative approaches to neurobiology, exemplifying the interdisciplinary nature of our bioengineering training. The strong affiliation of the neuroscience faculty in bioengineering with two of the strongest and best funded neuroscience programs in the country, at UCSF and UCB, provides outstanding opportunities for incoming students to be involved in top notch, cutting-edge research. Neural Systems Analysis faculty in the Graduate Group: Martin Banks, UCB, Core Member Biomedical Imaging; Neural Systems Analysis; Vision Nancy Byl, UCSF, Affiliate Neural Systems Analysis Jose Carmena, UCB, Affiliate Neural Systems Analysis Maurice Cohen, UCSF, Affiliate Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Biomedical Instrumentation; Neural Systems Analysis David R. Copenhagen, UCSF, Affiliate Neural Systems Analysis; Vision Mark D'Esposito, UCB, Core Member Biomedical Imaging; Neural Systems Analysis Yang Dan, UCB, Core Member Neural Systems Analysis; Vision Robert Edwards, UCSF, Core Member Neural Systems Analysis Howard Fields, UCSF, Affiliate Neural Systems Analysis Loren Frank, UCSF, Core Member Biomedical Instrumentation; Neural Systems Analysis Ralph D. Freeman, UCB, Affiliate Neural Systems Analysis; Vision Robert Full, UCB, Core Member Biomaterials; Biomechanics; BioMEMS, Nanotechnology, Robotics; Neural Systems Analysis Jack Gallant, UCB, Core Member Biomedical Imaging; Neural Systems Analysis; Vision Gregory Hjelmstad, UCSF, Affiliate Neural Systems Analysis Donna Hudson, UCSF, Core Member Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Biomedical Instrumentation; Neural Systems Analysis Don L. Jewett, UCSF, Affiliate Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Biomedical Instrumentation; Neural Systems Analysis; Vision Edward L. Keller, UCB, Affiliate Neural Systems Analysis Stanley Klein, UCB, Core Member Biomedical Imaging; Neural Systems Analysis; Vision Robert Knight, UCB, Core Member Neural Systems Analysis Patricia Leake, UCSF, Core Member Biomaterials; Biomechanics; Drug Delivery; Neural Systems Analysis; Tissue Engineering Luke Lee, UCB, Core Member Biomaterials; Biomedical Imaging; Biomedical Instrumentation; BioMEMS, Nanotechnology, Robotics; Neural Systems Analysis; Vision Steven L. Lehman, UCB, Core Member Biomechanics; Neural Systems Analysis Edwin R. Lewis, UCB, Core Member Biomedical Instrumentation; Neural Systems Analysis Stephen Lisberger, UCSF, Affiliate Neural Systems Analysis; Vision Michael M. Merzenich, UCSF, Affiliate Neural Systems Analysis; Vision Pratik Mukherjee, UCSF, Core Member Biomedical Imaging; Neural Systems Analysis Srikantan Nagarajan, UCSF, Core Member Biomedical Imaging; Neural Systems Analysis Boris Rubinsky, UCB, Core Member Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Biomedical Instrumentation; BioMEMS, Nanotechnology, Robotics; Drug Delivery; Neural Systems Analysis; Tissue Engineering Philip Sabes, UCSF, Core Member Biomechanics; Neural Systems Analysis; Vision Julie Schnapf, UCSF, Affiliate Neural Systems Analysis; Vision Clifton Schor, UCB, Affiliate Neural Systems Analysis; Vision Christoph E. Schreiner, UCSF, Core Member Neural Systems Analysis Michael Silver, UCB, Affiliate Biomedical Imaging; Neural Systems Analysis; Vision Greg Simpson, UCSF, Affiliate Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Biomedical Instrumentation; Neural Systems Analysis David Sretavan, UCSF, Core Member Biomedical Instrumentation; BioMEMS, Nanotechnology, Robotics; Neural Systems Analysis; Tissue Engineering; Vision Michael Stryker, UCSF, Core Member Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Neural Systems Analysis; Vision Kimberly Topp, UCSF, Core Member Biomechanics; Neural Systems Analysis