北京大学定量生物学中心

学术报告

题    目：Auditory stream segregation and perceptual bistability

报告人：Professor John Rinzel

                       Center for Neural Science and Courant Institute of Mathematical Sciences, New York University

时    间：12月14日（周五）13:00-14:00

地    点：北京大学老化学楼东配楼101报告厅

主持人：陶乐天 研究员

摘 要：

 When experiencing an ambiguous sensory stimulus (e.g., the faces-vase image), subjects may report random alternations (time scale, seconds) between the possible interpretations. I will describe dynamical systems models for neuronal populations that compete for dominance through mutual inhibition, influenced by slow adaptation and noise. In highly idealized formulations network units are percept specific without direct representation of stimulus features.  Our behavioral experiments and modeling involve perception of ambiguous auditory stimuli.  The models incorporate feature specificity, tonotopically organized inputs and receptive fields, so that perceptual selectivity is emergent rather than built-in. Our model addresses the effects of selective attention, distractor and deviant sounds as well as the transient, so-called build-up, phase of sound source segregation as when entering a cocktail party.

John Rinzel教授简介：

Education

B.S., Engineering, University of Florida, USA, 1967.

M.S., Mathematics, New York University’s Courant Institute, USA, 1968.

Ph.D., Mathematics, New York University’s Courant Institute, USA, 1973.

Professional/Academic Appointments

1968-70, 73-75, Mathematician, Divn Computer Research & Technology, NIH

1975-97 Chief & Research Math’n, Math Research Branch, NIDDK, NIH (Chief, '81-'97)

1997- Professor, Ctr for Neural Science & Courant Inst of Math’cl Sciences, New York Univ

Research Interests

His research is in computational neuroscience. He seek to understand the dynamics of neuronal systems, computations and behaviors. Current projects involve developing, analyzing and testing physiologically-based models for cellular integration and excitability, for auditory pathways of sound localization, for novelty detection and perception in multisource and ambiguous auditory scenes.