Integration over multiple timescales in primary auditory cortex

Stephen David, Shihab A. Shamma

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Speech and other natural vocalizations are characterized by large modulations in their sound envelope. The timing of these modulations contains critical information for discrimination of important features, such as phonemes.Westudied how depression of synaptic inputs, a mechanism frequently reported in cortex, can contribute to the encoding of envelope dynamics. Using a nonlinear stimulus-response model that accounted for synaptic depression, we predicted responses of neurons in ferret primary auditory cortex (A1) to stimuli with natural temporal modulations. The depression model consistently performed better than linear and second-order models previously used to characterize A1 neurons, and it produced more biologically plausible fits. To test how synaptic depression can contribute to temporal stimulus integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons showing and not showing depression to reconstruct the stimulus envelope. Neurons showing evidence for depression reconstructed stimuli over a longer range of latencies. These findings suggest that variation in depression across the cortical population supports a rich code for representing the temporal dynamics of natural sounds.

Original languageEnglish (US)
Pages (from-to)19154-19166
Number of pages13
JournalJournal of Neuroscience
Volume33
Issue number49
DOIs
StatePublished - 2013

Fingerprint

Auditory Cortex
Depression
Neurons
Ferrets
Aptitude
Population

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Integration over multiple timescales in primary auditory cortex. / David, Stephen; Shamma, Shihab A.

In: Journal of Neuroscience, Vol. 33, No. 49, 2013, p. 19154-19166.

Research output: Contribution to journalArticle

David, Stephen ; Shamma, Shihab A. / Integration over multiple timescales in primary auditory cortex. In: Journal of Neuroscience. 2013 ; Vol. 33, No. 49. pp. 19154-19166.
@article{519bfe5ac99f4446a38eda594788fddc,
title = "Integration over multiple timescales in primary auditory cortex",
abstract = "Speech and other natural vocalizations are characterized by large modulations in their sound envelope. The timing of these modulations contains critical information for discrimination of important features, such as phonemes.Westudied how depression of synaptic inputs, a mechanism frequently reported in cortex, can contribute to the encoding of envelope dynamics. Using a nonlinear stimulus-response model that accounted for synaptic depression, we predicted responses of neurons in ferret primary auditory cortex (A1) to stimuli with natural temporal modulations. The depression model consistently performed better than linear and second-order models previously used to characterize A1 neurons, and it produced more biologically plausible fits. To test how synaptic depression can contribute to temporal stimulus integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons showing and not showing depression to reconstruct the stimulus envelope. Neurons showing evidence for depression reconstructed stimuli over a longer range of latencies. These findings suggest that variation in depression across the cortical population supports a rich code for representing the temporal dynamics of natural sounds.",
author = "Stephen David and Shamma, {Shihab A.}",
year = "2013",
doi = "10.1523/JNEUROSCI.2270-13.2013",
language = "English (US)",
volume = "33",
pages = "19154--19166",
journal = "Journal of Neuroscience",
issn = "0270-6474",
publisher = "Society for Neuroscience",
number = "49",

}

TY - JOUR

T1 - Integration over multiple timescales in primary auditory cortex

AU - David, Stephen

AU - Shamma, Shihab A.

PY - 2013

Y1 - 2013

N2 - Speech and other natural vocalizations are characterized by large modulations in their sound envelope. The timing of these modulations contains critical information for discrimination of important features, such as phonemes.Westudied how depression of synaptic inputs, a mechanism frequently reported in cortex, can contribute to the encoding of envelope dynamics. Using a nonlinear stimulus-response model that accounted for synaptic depression, we predicted responses of neurons in ferret primary auditory cortex (A1) to stimuli with natural temporal modulations. The depression model consistently performed better than linear and second-order models previously used to characterize A1 neurons, and it produced more biologically plausible fits. To test how synaptic depression can contribute to temporal stimulus integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons showing and not showing depression to reconstruct the stimulus envelope. Neurons showing evidence for depression reconstructed stimuli over a longer range of latencies. These findings suggest that variation in depression across the cortical population supports a rich code for representing the temporal dynamics of natural sounds.

AB - Speech and other natural vocalizations are characterized by large modulations in their sound envelope. The timing of these modulations contains critical information for discrimination of important features, such as phonemes.Westudied how depression of synaptic inputs, a mechanism frequently reported in cortex, can contribute to the encoding of envelope dynamics. Using a nonlinear stimulus-response model that accounted for synaptic depression, we predicted responses of neurons in ferret primary auditory cortex (A1) to stimuli with natural temporal modulations. The depression model consistently performed better than linear and second-order models previously used to characterize A1 neurons, and it produced more biologically plausible fits. To test how synaptic depression can contribute to temporal stimulus integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons showing and not showing depression to reconstruct the stimulus envelope. Neurons showing evidence for depression reconstructed stimuli over a longer range of latencies. These findings suggest that variation in depression across the cortical population supports a rich code for representing the temporal dynamics of natural sounds.

UR - http://www.scopus.com/inward/record.url?scp=84889051987&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889051987&partnerID=8YFLogxK

U2 - 10.1523/JNEUROSCI.2270-13.2013

DO - 10.1523/JNEUROSCI.2270-13.2013

M3 - Article

C2 - 24305812

AN - SCOPUS:84889051987

VL - 33

SP - 19154

EP - 19166

JO - Journal of Neuroscience

JF - Journal of Neuroscience

SN - 0270-6474

IS - 49

ER -