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A Neuronal Network Model for Context-Dependent Perceptual Decision on Ambiguous Sound Comparison
【2015.1.13 3:30pm, N210】

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 2015-1-12

  Colloquia & Seminars 

  Speaker

Dr. Chengcheng Huang,Courant Institute, New York University 

  Title

A Neuronal Network Model for Context-Dependent Perceptual Decision on Ambiguous Sound Comparison   

  Time

2015.1.13 15:30-16:30

  Venue

N210

  Abstract

Many natural stimuli contain perceptual ambiguities that can be cognitively resolved by the surrounding context, e.g. preceding stimuli. In audition, preceding context can bias the perception of speech and non-speech stimuli. Here, we developed neuronal network model to account for how preceding auditory stimuli affects our perception of pitch change direction. Our model draws inspiration from a recent psychophysical experiment where listeners experienced opposite percepts (either ascending or descending) of an ambiguous tone pair depending on the spectral positions of the preceding tones. Our recurrent firing-rate network model can detect frequency change of successively played stimuli due to asymmetric inhibition. We propose a novel adaptation mechanism, facilitation of inhibitory synapses, which successfully accounts for the context-dependent perception demonstrated in behavioral experiments.   

  Affiliation

 

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