The billions of cells and trillions of connections of the brain mediate essentially unlimited numbers of computations. Understanding how these computations are performed and implemented biophysically is an important goal of UC Davis neuroscience research. UC Davis has recently invested in an expansion in computational neuroscience research. Our Consortium has a large number of faculty working at this level: 27 faculty members from 13 departments and 7 centers.
Faculty studying computation
Craig Benham, Ph.D. | Mathematical and computational models of regulatory mechanisms, pathways, systems and networks; bioinformatics; DNA mechanics |
Eliza Bliss-Moreau, Ph.D. | Affective neuroscience |
Shelley A. Blozis, Ph.D. | Development of statistical methods for clustered, repeated measures and longitudinal psychological health data |
Erie D. Boorman, Ph.D. | Learning and decision-making |
Ken Britten, Ph.D. | Cortical contributions to visual perception and visually guided action |
Rishidev Chaudhuri, Ph.D. | Computational neuroscience and neural data analysis |
Shizhe Chen, Ph.D. | Statistical analysis of neural circuits |
Nipavan Chiamvimonvat, M.D. | Molecular and cellular mechanisms of cardiac arrhythmias using combined experimental and computational approaches |
Daniel L. Cox, Ph.D. | Modeling neuronal sensing/navigation circuits and impacts from neurodegenerative damage |
Robert Cudmore, Ph.D. | Effects of experience, disease and aging on the structure and function of the brain |
Jochen Ditterich, Ph.D. | Neural mechanisms of decision-making; new technology for neuroscience and translational applications |
Yong Duan, Ph.D. | Computational and theoretical biology; biophysics |
Andrew S. Fox, Ph.D. | Neurobiology of “affective style” |
Cecilia Giulivi, M.S., Ph.D. | Mitochondrial dysfunction in neurological disorders |
Mark Goldman, Ph.D. | Computational neuroscience |
Eleonora Grandi, Ph.D. | Mathematical modeling of electrophysiology, ion transport and regulation |
Tim Hanks, Ph.D. | Neural mechanisms of decision making and related disorders of brain function |
Wilsaan M. Joiner, Ph.D. | Sensorimotor integration; motor learning/control; and clinical applications |
Sanjay Joshi, Ph.D. | Robotics, human-machine interfaces (including brain-computer interfaces); prosthetics, artificial intelligence; machine learning; rehabilitation |
Tim Lewis, Ph.D. | Mechanisms underlying neuronal network dynamics |
Yuko Munakata, Ph.D. | Cognitive control over thoughts and actions, influences, consequences and mechanisms |
Gerald Quon, Ph.D. | Computational approaches to identifying the molecular and cellular mechanisms of action of genetic variants associated with psychiatric and neurodevelopmental disorders |
Charan Ranganath, Ph.D. | Neural basis and functional organization of human learning and memory |
Sergey Stavisky, Ph.D. | Brain-computer interfaces for restoring speech and reach and grasp |
Mitchell Sutter, Ph.D. | Neural mechanisms of sound perception and modulation by attention, decisions and actions |
Jane-Ling Wang, Ph.D. | Functional data analysis, survival analysis, brain functional connectivity and deep learning |
Vladimir Yarov-Yarovoy | Structure and function of voltage-gated ion channels; computational design; and chemical synthesis of subtype-specific modulators |