John Rinzel

About

Professor of Neural Science and Mathematics at NYU. Research focuses on computational neuroscience, understanding dynamics of neuronal systems, computations and behaviors. Develops and analyzes physiologically-based models for cellular integration, excitability, auditory pathways, and perception.

Education

• Ph.D. Mathematics, New York University's Courant Institute, 1973
• M.S. Mathematics, New York University's Courant Institute, 1968
• B.S. Engineering, University of Florida, 1967

Selected publications

• Noise-induced alternations in an attractor network model of perceptual bistability
• Slope-based stochastic resonance: How noise enables phasic neurons to encode slow signals
• Nonlinear Dynamics of Neuronal Excitability, Oscillations, and Coincidence Detection