Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling
Identifieur interne : 001858 ( Ncbi/Merge ); précédent : 001857; suivant : 001859Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling
Auteurs : Romain Veltz ; Terrence J. SejnowskiSource :
- Neural computation [ 0899-7667 ] ; 2015.
Abstract
Inhibition-stabilized networks (ISNs) are neural architectures with strong positive feedback among pyramidal neurons balanced by strong negative feedback from inhibitory interneurons, a circuit element found in the hippocampus and the primary visual cortex. In their working regime, ISNs produce damped oscillations in the γ-range in response to inputs to the inhibitory population. In order to understand the properties of interconnected ISNs, we investigated periodic forcing of ISNs. We show that ISNs can be excited over a range of frequencies and derive properties of the resonance peaks. In particular, we studied the phase-locked solutions, the torus solutions, and the resonance peaks. Periodically forced ISNs respond with (possibly multistable) phase-locked activity, whereas networks with sustained intrinsic oscillations respond more dynamically to periodic inputs with tori. Hence, the dynamics are surprisingly rich, and phase effects alone do not adequately describe the network response. This strengthens the importance of phaseamplitude coupling as opposed to phase-phase coupling in providing multiple frequencies for multiplexing and routing information.
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DOI: 10.1162/NECO_a_00786
PubMed: 26496044
PubMed Central: 4763930
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<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9426182</journal-id><journal-id journal-id-type="pubmed-jr-id">20143</journal-id><journal-id journal-id-type="nlm-ta">Neural Comput</journal-id><journal-id journal-id-type="iso-abbrev">Neural Comput</journal-id><journal-title-group><journal-title>Neural computation</journal-title></journal-title-group><issn pub-type="ppub">0899-7667</issn><issn pub-type="epub">1530-888X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">26496044</article-id><article-id pub-id-type="pmc">4763930</article-id><article-id pub-id-type="doi">10.1162/NECO_a_00786</article-id><article-id pub-id-type="manuscript">HHMIMS759986</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Veltz</surname><given-names>Romain</given-names></name><email>romain.veltz@inria.fr</email><aff id="A1">Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, and INRIA, Sophia Antipolis Mediterrane, 06902 France</aff></contrib><contrib contrib-type="author"><name><surname>Sejnowski</surname><given-names>Terrence J.</given-names></name><email>sejnowski@salk.edu</email><aff id="A2">Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A., and Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093 U.S.A</aff></contrib></contrib-group><pub-date pub-type="nihms-submitted"><day>17</day><month>2</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>23</day><month>10</month><year>2015</year></pub-date><pub-date pub-type="ppub"><month>12</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>23</day><month>2</month><year>2016</year></pub-date><volume>27</volume><issue>12</issue><fpage>2477</fpage><lpage>2509</lpage><pmc-comment>elocation-id from pubmed: 10.1162/NECO_a_00786</pmc-comment>
<abstract><p id="P1">Inhibition-stabilized networks (ISNs) are neural architectures with strong positive feedback among pyramidal neurons balanced by strong negative feedback from inhibitory interneurons, a circuit element found in the hippocampus and the primary visual cortex. In their working regime, ISNs produce damped oscillations in the γ-range in response to inputs to the inhibitory population. In order to understand the properties of interconnected ISNs, we investigated periodic forcing of ISNs. We show that ISNs can be excited over a range of frequencies and derive properties of the resonance peaks. In particular, we studied the phase-locked solutions, the torus solutions, and the resonance peaks. Periodically forced ISNs respond with (possibly multistable) phase-locked activity, whereas networks with sustained intrinsic oscillations respond more dynamically to periodic inputs with tori. Hence, the dynamics are surprisingly rich, and phase effects alone do not adequately describe the network response. This strengthens the importance of phaseamplitude coupling as opposed to phase-phase coupling in providing multiple frequencies for multiplexing and routing information.</p></abstract></article-meta></front></pmc><affiliations><list></list><tree><noCountry><name sortKey="Sejnowski, Terrence J" sort="Sejnowski, Terrence J" uniqKey="Sejnowski T" first="Terrence J." last="Sejnowski">Terrence J. Sejnowski</name><name sortKey="Veltz, Romain" sort="Veltz, Romain" uniqKey="Veltz R" first="Romain" last="Veltz">Romain Veltz</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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