Substructure of Functional Network for Auditory Stream Segregation in Auditory Cortex

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  • Noda Takahiro
    Department of Mechano-informatics, Graduate School of Information Science and Technology, The University of Tokyo
  • Kanzaki Ryohei
    Department of Mechano-informatics, Graduate School of Information Science and Technology, The University of Tokyo Research Center for Advanced Science and Technology, The University of Tokyo
  • Takahashi Hirokazu
    Department of Mechano-informatics, Graduate School of Information Science and Technology, The University of Tokyo Research Center for Advanced Science and Technology, The University of Tokyo PRESTO, JST

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Other Title
  • 聴覚野における音脈分凝に関わる機能的ネットワークの下部構造
  • チョウカクノ ニ オケル オト ミャク ブンギョウ ニ カカワル キノウテキ ネットワーク ノ カブ コウゾウ
  • Sub-millisecond firing synchrony of closely neighboring pyramidal neurons in hippocampal CA1 of rats during delayed non-matching to sample task

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Abstract

Perceptual integration and segregation of alternating tone sequence differing in frequency (ABA-ABA-…) depend on the frequency differences (ΔFs) between A and B tones and the inter-tone intervals (ITIs) between successive tones. In the auditory cortex, tonotopic separation, forward suppression and multisecond habituation have been considered as possible neural mechanisms of this perceptual phenomenon. These mechanisms, however, cannot completely account for the van Noorden's perceptual boundary and the temporally continuous perception of auditory streaming. Here we examined the temporal changes of the functional network properties in the auditory cortex in response to tone sequences with different ΔFs and ITIs. Specifically, we recorded local field potentials using microelectrode arrays from anesthetized rats and constructed the functional network based on phase synchrony in gamma-band oscillation. Consequently, the networks consisted of sub-networks highly correlated with the place code of frequency, i.e., tonotopic map, and the sub-network selective to B tones lasted for a prolonged period at large ΔF. Such characteristic substructures of functional network are a possible candidate of neural basis of auditory stream segregation.

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