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Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings

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dc.contributor.authorMakarov, Valeri A.
dc.contributor.authorCastellanos, Nazareth P.
dc.date.accessioned2023-06-20T09:40:21Z
dc.date.available2023-06-20T09:40:21Z
dc.date.issued2006
dc.descriptionConference of the World-Academy-of-Science-Engineering-and-Technology. Barcelona, SPAIN. OCT 22-24, 2006.
dc.description.abstractStatistical analysis of electrophysiological recordings obtained under, e.g. tactile, stimulation frequently suggests participation in the network dynamics of experimentally unobserved "hidden" neurons. Such interneurons making synapses to experimentally recorded neurons may strongly alter their dynamical responses to the stimuli. We propose a mathematical method that formalizes this possibility and provides an algorithm for inferring on the presence and dynamics of hidden neurons based on fitting of the experimental data to spike trains generated by the network model. The model makes use of Integrate and Fire neurons "chemically" coupled through exponentially decaying synaptic currents. We test the method on simulated data and also provide an example of its application to the experimental recording from the Dorsal Column Nuclei neurons of the rat under tactile stimulation of a hind limb.
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.sponsorshipMinisterio de Educacion y Ciencia (Ramón y Cajal)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/16815
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dc.identifier.issn1307-6884
dc.identifier.officialurlhttp://www.waset.org/journals/waset/v15/v15-122.pdf
dc.identifier.relatedurlhttp://www.waset.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/50155
dc.journal.titleProceedings of World Academy of Science Engineering and Technology
dc.language.isoeng
dc.page.final36
dc.page.initial31
dc.publisherWorld Academy of Science, Engineering & Technology
dc.relation.projectIDPR1/06-14482-B
dc.rights.accessRightsrestricted access
dc.subject.cdu512.74
dc.subject.keywordIntegrate and fire neuron
dc.subject.keywordNeural network models
dc.subject.keywordSpike trains
dc.subject.keywordDorsal column nuclei
dc.subject.keywordConnectivity
dc.subject.keywordModels
dc.subject.keywordRat
dc.subject.ucmGrupos (Matemáticas)
dc.titleInferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings
dc.typejournal article
dc.volume.number15
dspace.entity.typePublication
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