Literature DB >> 32047882

Distinct Manifestations of Cooperative, Multidimensional Stimulus Representations in Different Auditory Forebrain Stations.

Jonathan Y Shih1, Kexin Yuan1,2, Craig A Atencio1, Christoph E Schreiner1.   

Abstract

Classic spectrotemporal receptive fields (STRFs) for auditory neurons are usually expressed as a single linear filter representing a single encoded stimulus feature. Multifilter STRF models represent the stimulus-response relationship of primary auditory cortex (A1) neurons more accurately because they can capture multiple stimulus features. To determine whether multifilter processing is unique to A1, we compared the utility of single-filter versus multifilter STRF models in the medial geniculate body (MGB), anterior auditory field (AAF), and A1 of ketamine-anesthetized cats. We estimated STRFs using both spike-triggered average (STA) and maximally informative dimension (MID) methods. Comparison of basic filter properties of first maximally informative dimension (MID1) and second maximally informative dimension (MID2) in the 3 stations revealed broader spectral integration of MID2s in MGBv and A1 as opposed to AAF. MID2 peak latency was substantially longer than for STAs and MID1s in all 3 stations. The 2-filter MID model captured more information and yielded better predictions in many neurons from all 3 areas but disproportionately more so in AAF and A1 compared with MGBv. Significantly, information-enhancing cooperation between the 2 MIDs was largely restricted to A1 neurons. This demonstrates significant differences in how these 3 forebrain stations process auditory information, as expressed in effective and synergistic multifilter processing.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  auditory forebrain; cat; multiple filters; predictions; spectrotemporal receptive fields; transformations

Year:  2020        PMID: 32047882      PMCID: PMC7197202          DOI: 10.1093/cercor/bhz299

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  64 in total

1.  Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex.

Authors:  Lee M Miller; Monty A Escabí; Heather L Read; Christoph E Schreiner
Journal:  J Neurophysiol       Date:  2002-01       Impact factor: 2.714

2.  Feature selectivity and interneuronal cooperation in the thalamocortical system.

Authors:  L M Miller; M A Escabí; C E Schreiner
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

3.  Analyzing neural responses to natural signals: maximally informative dimensions.

Authors:  Tatyana Sharpee; Nicole C Rust; William Bialek
Journal:  Neural Comput       Date:  2004-02       Impact factor: 2.026

4.  Central auditory neurons have composite receptive fields.

Authors:  Andrei S Kozlov; Timothy Q Gentner
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

5.  Principles governing auditory cortex connections.

Authors:  Charles C Lee; Jeffery A Winer
Journal:  Cereb Cortex       Date:  2005-03-30       Impact factor: 5.357

Review 6.  Neural encoding of sensory and behavioral complexity in the auditory cortex.

Authors:  Kishore Kuchibhotla; Brice Bathellier
Journal:  Curr Opin Neurobiol       Date:  2018-04-27       Impact factor: 6.627

7.  Modeling methodology for nonlinear physiological systems.

Authors:  V Z Marmarelis
Journal:  Ann Biomed Eng       Date:  1997 Mar-Apr       Impact factor: 3.934

8.  Thalamic projections to fields A, AI, P, and VP in the cat auditory cortex.

Authors:  A Morel; T J Imig
Journal:  J Comp Neurol       Date:  1987-11-01       Impact factor: 3.215

9.  Intrinsic organization of the cat's medial geniculate body identified by projections to binaural response-specific bands in the primary auditory cortex.

Authors:  J C Middlebrooks; J M Zook
Journal:  J Neurosci       Date:  1983-01       Impact factor: 6.167

10.  Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex.

Authors:  Jennifer F Linden; Robert C Liu; Maneesh Sahani; Christoph E Schreiner; Michael M Merzenich
Journal:  J Neurophysiol       Date:  2003-06-18       Impact factor: 2.714

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  1 in total

1.  Plasticity of Multidimensional Receptive Fields in Core Rat Auditory Cortex Directed by Sound Statistics.

Authors:  Natsumi Y Homma; Craig A Atencio; Christoph E Schreiner
Journal:  Neuroscience       Date:  2021-05-02       Impact factor: 3.708

  1 in total

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