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dc.contributor.authorAdomaitienė, Elena
dc.contributor.authorTamaševičius, Arūnas Vytautas
dc.contributor.authorMykolaitis, Gytis
dc.contributor.authorBumelienė, Skaidra
dc.contributor.authorKirvaitis, Raimundas
dc.contributor.authorStoop, Ruedi
dc.date.accessioned2023-09-18T20:28:52Z
dc.date.available2023-09-18T20:28:52Z
dc.date.issued2009
dc.identifier.other(BIS)LBT02-000036241
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150209
dc.description.abstractAn analogue electrical circuit imitating the dynamics of the FitzHugh-Nagumo neuron model is proposed. The circuit contains a nonlinear unit with an asymmetric DC current-voltage characteristic. It is demonstrated that a simple first order linear RC filter coupled to the circuit can inhibit spiking and stabilize the system on an unstable steady state. The knowledge of the position of the steady state is not required, since the filter operates as an adaptive controller. Experimental, analytical and numerical results are presented.eng
dc.format.extentp. 138-141
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleElectronic analog of the FitzHugh-Nagumo neuron model and noninvasive control of its steady state
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references11
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionPuslaidininkių fizikos institutas Vilniaus universitetas
dc.contributor.institutionPuslaidininkių fizikos institutas
dc.contributor.institutionPuslaidininkių fizikos institutas Vilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionInstitute of Neuroinformatics, University of Zürich (UNIZH) Swiss Federal Institute of Technology Zürich (ETHZ)
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldN 002 - Fizika / Physics
dc.subject.ltFitzHugh-Nagumo neurono modelis
dc.subject.ltDinaminės sistemos
dc.subject.enFitzHugh-Nagumo neuron model
dc.subject.enDynamical systems
dcterms.sourcetitle17th International workshop on nonlinear dynamics of electronic systems (NDES'2009) : proceedings, Rapperswil, Switzerland, June 21-24, 2009
dc.publisher.cityRapperswil
dc.identifier.elaba5843349


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