Simulated time series of the cumulative post-synaptic contributions of 36 model neurons

Computational Neuroscience

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