Contribution of spiking activity in the primary auditory cortex to detection in noise
Author(s) -
Kate L. Christison-Lagay,
Sharath Bennur,
Yale E. Cohen
Publication year - 2017
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00521.2017
Subject(s) - auditory cortex , stimulus (psychology) , neuroscience , perception , sensory system , population , psychology , premovement neuronal activity , neuron , auditory perception , noise (video) , audiology , communication , computer science , cognitive psychology , artificial intelligence , medicine , environmental health , image (mathematics)
A fundamental problem in hearing is detecting a “target” stimulus (e.g., a friend’s voice) that is presented with a noisy background (e.g., the din of a crowded restaurant). Despite its importance to hearing, a relationship between spiking activity and behavioral performance during such a “detection-in-noise” task has yet to be fully elucidated. In this study, we recorded spiking activity in primary auditory cortex (A1) while rhesus monkeys detected a target stimulus that was presented with a noise background. Although some neurons were modulated, the response of the typical A1 neuron was not modulated by the stimulus- and task-related parameters of our task. In contrast, we found more robust representations of these parameters in population-level activity: small populations of neurons matched the monkeys’ behavioral sensitivity. Overall, these findings are consistent with the hypothesis that the sensory evidence, which is needed to solve such detection-in-noise tasks, is represented in population-level A1 activity and may be available to be read out by downstream neurons that are involved in mediating this task. NEW & NOTEWORTHY This study examines the contribution of A1 to detecting a sound that is presented with a noisy background. We found that population-level A1 activity, but not single neurons, could provide the evidence needed to make this perceptual decision.
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