Enhanced Stability of Complex Sound Representations Relative to Simple Sounds in the Auditory Cortex

Author:

Suri Harini,Rothschild Gideon

Abstract

AbstractTypical everyday sounds, such as those of speech or running water, are spectrotemporally complex. The ability to recognize complex sounds (CxSs) and their associated meaning is presumed to rely on their stable neural representations across time. The auditory cortex is critical for the processing of CxSs, yet little is known of the degree of stability of auditory cortical representations of CxSs across days. Previous studies have shown that the auditory cortex represents CxS identity with a substantial degree of invariance to basic sound attributes such as frequency. We therefore hypothesized that auditory cortical representations of CxSs are more stable across days than those of sounds that lack spectrotemporal structure such as pure tones (PTs). To test this hypothesis, we recorded responses of identified layer 2/3 auditory cortical excitatory neurons to both PTs and CxSs across days using two-photon calcium imaging in awake mice. Auditory cortical neurons showed significant daily changes of responses to both types of sounds, yet responses to CxSs exhibited significantly lower rates of daily change than those of PTs. Furthermore, daily changes in response profiles to PTs tended to be more stimulus-specific, reflecting changes in sound selectivity, compared with changes of CxS responses. Last, the enhanced stability of responses to CxSs was evident across longer time intervals as well. Together, these results suggest that spectrotemporally CxSs are more stably represented in the auditory cortex across time than PTs. These findings support a role of the auditory cortex in representing CxS identity across time.

Funder

Whitehall Foundation

Brain and Behavior Research Foundation

Claude D. Pepper Older Americans Independence Center, University of Michigan

Alzheimer's Association Research Grant

Publisher

Society for Neuroscience

Subject

General Medicine,General Neuroscience

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