A Neuronal Network Model for Context-Dependent Perceptual Decision on Ambiguous Sound Comparison
主 题: A Neuronal Network Model for Context-Dependent Perceptual Decision on Ambiguous Sound Comparison
报告人: 黄橙橙博士 (Courant Institute, NYU)
时 间: 2015-01-12 16:00-17:00
地 点: 理科一号楼1418教室（主持人：李铁军）
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.