js33333金沙线路检测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：js33333金沙线路检测老化学楼东配楼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.
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