Neural Systems Engineering & Vision Science
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.
Scientific study of the visual system has always been heavily influenced by the perspective of bioengineering. The visual system is uniquely suited to an engineering approach because visual stimuli are easily quantified, and the the anatomy provides ready access to both the transducers (the retina) and the primary processing area (occipital cortex). For these reasons almost all classical and modern bioengineering tools can be applied to the visual system, and new experimental and mathematical techniques are constantly being developed in this area. Thus, this system provides a range of exciting opportunities for the motivated bioengineer: diagnostic instrumentation; minimally invasive surgical methods; engineered molecules to halt or reverse the course of disease; modeling of the cornea or other ocular tissue; studies of sensory coding; quantitative modeling of neuronal function; large-scale computer simulations of sensory networks; development of visual prostheses; modeling and analysis of eye movement control systems and accommodative changes; control-systems analysis of mechanisms of attention and intention; functional imaging of brain activity. Nearly a dozen different laboratories at UCSF and UCB offer chances to participate in cutting-edge research on vision.
The strong affiliation of the neuroscience and vision faculty in bioengineering with two of the strongest and best funded neuroscience and vision 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 Engineering & Vision Science faculty in the Graduate Group:
Martin Banks, UCB, Core Member Biomedical Imaging; Neural Systems Analysis; Vision
Brian Barsky, UCB, Affiliate Biomedical Imaging; Biomedical Instrumentation; BioMEMS, Nanotechnology, Robotics; Vision
Nancy Byl, UCSF, Affiliate Neural Systems Analysis
Jose Carmena, UCB, Core Member 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, Affiliate 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, Core Member Neural Systems Analysis
Loren Frank, UCSF, Affiliate 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
Xiaohua Gong, UCB, Core Member Tissue Engineering; 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, Affiliate 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, Affiliate Biomechanics; Neural Systems Analysis
Dennis Levi, UCB, Affiliate Vision
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
Austin Roorda, UCB, Core Member Biomedical Imaging; Biomedical Instrumentation; Vision
Boris Rubinsky, UCB, Affiliate 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
David Sretavan, UCSF, Core Member Biomedical Instrumentation; BioMEMS, Nanotechnology, Robotics; Neural Systems Analysis; Tissue Engineering; Vision
Michael Stryker, UCSF, Affiliate Computational Biology, Bioinformatics, Genomics; Biomedical Imaging; Neural Systems Analysis; Vision
Kimberly Topp, UCSF, Affiliate Biomechanics; Neural Systems Analysis
Frank Werblin, UCB, Affiliate Vision
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