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Multiplexed and multivariate representations of sound identity during perceptual constancy

Stephen Town, View ORCID ProfileKatherine C. Wood, View ORCID ProfileJennifer Kim Bizley
doi: https://doi.org/10.1101/102889
Stephen Town
University College London;
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  • For correspondence: stephentown42@gmail.com
Katherine C. Wood
University of Pennsylvania
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  • ORCID record for Katherine C. Wood
Jennifer Kim Bizley
University College London;
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Abstract

Perceptual constancy requires neural representations that are selective for object identity, but also tolerant for identity-preserving transformations. How such representations arise in the brain and contribute to perception remains unclear. Here we studied tolerant representations of sound identity in the auditory system by recording multi-unit activity in tonotopic auditory cortex of ferrets discriminating the identity of vowels which co-varied across orthogonal stimulus dimensions (fundamental frequency, sound level, location and voicing). We found that neural decoding of vowel identity was most successful across the same orthogonal dimensions over which animals generalized their behavior. We also decoded orthogonal sound features and behavioral variables including choice and accuracy to show a behaviorally-relevant, multivariate and multiplexed representation of sound, with each variable represented over a distinct time-course. Finally, information content and timing of sound feature encoding was modulated by task-engagement and training, suggesting that tolerant representations during perceptual constancy are attentionally and experience-dependent.

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Posted July 15, 2017.
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Multiplexed and multivariate representations of sound identity during perceptual constancy
Stephen Town, Katherine C. Wood, Jennifer Kim Bizley
bioRxiv 102889; doi: https://doi.org/10.1101/102889
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Multiplexed and multivariate representations of sound identity during perceptual constancy
Stephen Town, Katherine C. Wood, Jennifer Kim Bizley
bioRxiv 102889; doi: https://doi.org/10.1101/102889

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