The neural code for auditory space depends on sound frequency and head size in an optimal manner.

A major cue to the location of a sound source is the interaural time difference (ITD)-the difference in sound arrival time at the two ears. The neural representation of this auditory cue is unresolved. The classic model of ITD coding, dominant for a half-century, posits that the distribution of best...

Full description

Bibliographic Details
Main Authors: Nicol S Harper, Brian H Scott, Malcolm N Semple, David McAlpine
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0108154
id doaj-1e3bcb6ae20b4bd09966ba5cdcf391f1
record_format Article
spelling doaj-1e3bcb6ae20b4bd09966ba5cdcf391f12021-04-02T04:30:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e10815410.1371/journal.pone.0108154The neural code for auditory space depends on sound frequency and head size in an optimal manner.Nicol S HarperBrian H ScottMalcolm N SempleDavid McAlpineA major cue to the location of a sound source is the interaural time difference (ITD)-the difference in sound arrival time at the two ears. The neural representation of this auditory cue is unresolved. The classic model of ITD coding, dominant for a half-century, posits that the distribution of best ITDs (the ITD evoking a neuron's maximal response) is unimodal and largely within the range of ITDs permitted by head-size. This is often interpreted as a place code for source location. An alternative model, based on neurophysiology in small mammals, posits a bimodal distribution of best ITDs with exquisite sensitivity to ITDs generated by means of relative firing rates between the distributions. Recently, an optimal-coding model was proposed, unifying the disparate features of these two models under the framework of efficient coding by neural populations. The optimal-coding model predicts that distributions of best ITDs depend on head size and sound frequency: for high frequencies and large heads it resembles the classic model, for low frequencies and small head sizes it resembles the bimodal model. The optimal-coding model makes key, yet unobserved, predictions: for many species, including humans, both forms of neural representation are employed, depending on sound frequency. Furthermore, novel representations are predicted for intermediate frequencies. Here, we examine these predictions in neurophysiological data from five mammalian species: macaque, guinea pig, cat, gerbil and kangaroo rat. We present the first evidence supporting these untested predictions, and demonstrate that different representations appear to be employed at different sound frequencies in the same species.https://doi.org/10.1371/journal.pone.0108154
collection DOAJ
language English
format Article
sources DOAJ
author Nicol S Harper
Brian H Scott
Malcolm N Semple
David McAlpine
spellingShingle Nicol S Harper
Brian H Scott
Malcolm N Semple
David McAlpine
The neural code for auditory space depends on sound frequency and head size in an optimal manner.
PLoS ONE
author_facet Nicol S Harper
Brian H Scott
Malcolm N Semple
David McAlpine
author_sort Nicol S Harper
title The neural code for auditory space depends on sound frequency and head size in an optimal manner.
title_short The neural code for auditory space depends on sound frequency and head size in an optimal manner.
title_full The neural code for auditory space depends on sound frequency and head size in an optimal manner.
title_fullStr The neural code for auditory space depends on sound frequency and head size in an optimal manner.
title_full_unstemmed The neural code for auditory space depends on sound frequency and head size in an optimal manner.
title_sort neural code for auditory space depends on sound frequency and head size in an optimal manner.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description A major cue to the location of a sound source is the interaural time difference (ITD)-the difference in sound arrival time at the two ears. The neural representation of this auditory cue is unresolved. The classic model of ITD coding, dominant for a half-century, posits that the distribution of best ITDs (the ITD evoking a neuron's maximal response) is unimodal and largely within the range of ITDs permitted by head-size. This is often interpreted as a place code for source location. An alternative model, based on neurophysiology in small mammals, posits a bimodal distribution of best ITDs with exquisite sensitivity to ITDs generated by means of relative firing rates between the distributions. Recently, an optimal-coding model was proposed, unifying the disparate features of these two models under the framework of efficient coding by neural populations. The optimal-coding model predicts that distributions of best ITDs depend on head size and sound frequency: for high frequencies and large heads it resembles the classic model, for low frequencies and small head sizes it resembles the bimodal model. The optimal-coding model makes key, yet unobserved, predictions: for many species, including humans, both forms of neural representation are employed, depending on sound frequency. Furthermore, novel representations are predicted for intermediate frequencies. Here, we examine these predictions in neurophysiological data from five mammalian species: macaque, guinea pig, cat, gerbil and kangaroo rat. We present the first evidence supporting these untested predictions, and demonstrate that different representations appear to be employed at different sound frequencies in the same species.
url https://doi.org/10.1371/journal.pone.0108154
work_keys_str_mv AT nicolsharper theneuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT brianhscott theneuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT malcolmnsemple theneuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT davidmcalpine theneuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT nicolsharper neuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT brianhscott neuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT malcolmnsemple neuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
AT davidmcalpine neuralcodeforauditoryspacedependsonsoundfrequencyandheadsizeinanoptimalmanner
_version_ 1714733266951471104