Towards a computational neurophysiology of covert auditory processing in health and disease

titleTowards a computational neurophysiology of covert auditory processing in health and disease
start_date2022/12/09
schedule12h-13h
onlineno
location_infosalle 15-409
summaryThe past 10 years have seen the emergence in the cognitive neuroscience community of a novel class of ‘data-driven’ methods inspired by psychophysical reverse-correlation, which allow researchers to model a participant’s behavioral responses to arbitrarily generated visual or auditory stimuli (Adolphs et al. 2016). Taking the example of some of our recent results on the perception of speech prosody (Ponsot et al., PNAS 2018; Goupil et al. Nature Communications 2021), I will show how to extend these new methodologies to the analysis of neurophysiological data, in order to identify the sensory mechanisms that underly covert auditory processing in both healthy participants, stroke and coma patients.
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