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Simple spectral transformations capture the contribution of peripheral processing to cortical responses to natural sounds

View ORCID ProfileMonzilur Rahman, View ORCID ProfileBen D. B. Willmore, View ORCID ProfileAndrew J. King, View ORCID ProfileNicol S. Harper
doi: https://doi.org/10.1101/2019.12.15.877142
Monzilur Rahman
Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Sherrington Road, Oxford OX1 3PT, UK
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  • ORCID record for Monzilur Rahman
  • For correspondence: monzilur.rahman@dpag.ox.ac.uk nicol.harper@dpag.ox.ac.uk
Ben D. B. Willmore
Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Sherrington Road, Oxford OX1 3PT, UK
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Andrew J. King
Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Sherrington Road, Oxford OX1 3PT, UK
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Nicol S. Harper
Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Sherrington Road, Oxford OX1 3PT, UK
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  • For correspondence: monzilur.rahman@dpag.ox.ac.uk nicol.harper@dpag.ox.ac.uk
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Abstract

Processing in the sensory periphery involves various mechanisms that enable the detection and discrimination of sensory information. Despite their biological complexity, could these processing steps sub-serve a relatively simple transformation of sensory inputs, which are then transmitted to the CNS? Here we explored both biologically-detailed and very simple models of the auditory periphery to find the appropriate input to a phenomenological model of auditory cortical responses to natural sounds. We examined a range of cochlear models, from those involving detailed biophysical characteristics of the cochlea and auditory nerve to very pared-down spectrogram-like approximations of the information processing in these structures. We tested the capacity of these models to predict the time-course of single-unit neural responses recorded in the ferret primary auditory cortex, when combined with a linear non-linear encoding model. We show that a simple model based on a log-spaced, log-scaled power spectrogram with Hill-function compression performs as well as biophysically-detailed models of the cochlea and the auditory nerve. These findings emphasize the value of using appropriate simple models of the periphery when building encoding models of sensory processing in the brain, and imply that the complex properties of the auditory periphery may together result in a simpler than expected functional transformation of the inputs.

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  • Conflict of interest: The authors declare no competing financial interests.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 16, 2019.
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Simple spectral transformations capture the contribution of peripheral processing to cortical responses to natural sounds
Monzilur Rahman, Ben D. B. Willmore, Andrew J. King, Nicol S. Harper
bioRxiv 2019.12.15.877142; doi: https://doi.org/10.1101/2019.12.15.877142
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Simple spectral transformations capture the contribution of peripheral processing to cortical responses to natural sounds
Monzilur Rahman, Ben D. B. Willmore, Andrew J. King, Nicol S. Harper
bioRxiv 2019.12.15.877142; doi: https://doi.org/10.1101/2019.12.15.877142

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