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Article: Dynamical behaviors of periodically forced Hindmarsh-Rose neural model: The role of excitability and 'intrinsic' stochastic resonance

TitleDynamical behaviors of periodically forced Hindmarsh-Rose neural model: The role of excitability and 'intrinsic' stochastic resonance
Authors
KeywordsFiring models
Neural systems
Stochastic resonance
Issue Date2000
PublisherInstitute of Pure and Applied Physics. The Journal's web site is located at http://www.ipap.jp/jpsj/index.htm
Citation
Journal Of The Physical Society Of Japan, 2000, v. 69 n. 1, p. 276-283 How to Cite?
AbstractIn the presence/absence of external noise, dynamical behaviors of periodically forced neural systems and firing modes of interspike interval (ISI) are investigated by employing the Hindmarsh-Rose model. In the biologically relevant range of the forcing frequency, the interplay among the intrinsic oscillation, the forcing oscillation, and the noise leads to three kinds of firing modes: multi-modal firing, bi-modal firing, and intrinsic oscillation, in terms of which we can roughly classify the relevant experimental observations on the periodically forced sensory neural systems through their dynamical status. The resonant feature of subthreshold intrinsic oscillations shown in the ISI, the output signal-to-noise ratio, and the mean firing rate, appears to be an indication of stochastic resonance (SR) without external noise, or the 'intrinsic' SR. In the multi-modal firing region where SR leads to the skipping phenomenon, based on the 'intrinsic' SR, a possible explanation of a specific ISIH observed in experiments is given. Moreover, a neural system can tune itself to be chaotic to encode the weak signal, rather than relying only on the external noise.
Persistent Identifierhttp://hdl.handle.net/10722/80896
ISSN
2015 Impact Factor: 1.559
2015 SCImago Journal Rankings: 0.720
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorWang, ZDen_HK
dc.contributor.authorWang, Wen_HK
dc.date.accessioned2010-09-06T08:11:28Z-
dc.date.available2010-09-06T08:11:28Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal Of The Physical Society Of Japan, 2000, v. 69 n. 1, p. 276-283en_HK
dc.identifier.issn0031-9015en_HK
dc.identifier.urihttp://hdl.handle.net/10722/80896-
dc.description.abstractIn the presence/absence of external noise, dynamical behaviors of periodically forced neural systems and firing modes of interspike interval (ISI) are investigated by employing the Hindmarsh-Rose model. In the biologically relevant range of the forcing frequency, the interplay among the intrinsic oscillation, the forcing oscillation, and the noise leads to three kinds of firing modes: multi-modal firing, bi-modal firing, and intrinsic oscillation, in terms of which we can roughly classify the relevant experimental observations on the periodically forced sensory neural systems through their dynamical status. The resonant feature of subthreshold intrinsic oscillations shown in the ISI, the output signal-to-noise ratio, and the mean firing rate, appears to be an indication of stochastic resonance (SR) without external noise, or the 'intrinsic' SR. In the multi-modal firing region where SR leads to the skipping phenomenon, based on the 'intrinsic' SR, a possible explanation of a specific ISIH observed in experiments is given. Moreover, a neural system can tune itself to be chaotic to encode the weak signal, rather than relying only on the external noise.en_HK
dc.languageengen_HK
dc.publisherInstitute of Pure and Applied Physics. The Journal's web site is located at http://www.ipap.jp/jpsj/index.htmen_HK
dc.relation.ispartofJournal of the Physical Society of Japanen_HK
dc.subjectFiring modelsen_HK
dc.subjectNeural systemsen_HK
dc.subjectStochastic resonanceen_HK
dc.titleDynamical behaviors of periodically forced Hindmarsh-Rose neural model: The role of excitability and 'intrinsic' stochastic resonanceen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-9015&volume=69&spage=276&epage=283&date=2000&atitle=Dynamical+Behaviors+of+Periodically+Forced+Hindmarsh-Rose+Neural+Model:+The+Role+of+Excitability+and+%27Intrinsic%27+Stochastic+Resonanceen_HK
dc.identifier.emailWang, ZD: zwang@hkucc.hku.hken_HK
dc.identifier.authorityWang, ZD=rp00802en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0034385352en_HK
dc.identifier.hkuros55922en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034385352&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume69en_HK
dc.identifier.issue1en_HK
dc.identifier.spage276en_HK
dc.identifier.epage283en_HK
dc.publisher.placeJapanen_HK
dc.identifier.scopusauthoridWang, Y=7601487807en_HK
dc.identifier.scopusauthoridWang, ZD=14828459100en_HK
dc.identifier.scopusauthoridWang, W=36072896000en_HK

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