Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings
| dc.contributor.author | Makarov Slizneva, Valeriy | |
| dc.contributor.author | Castellanos, Nazareth P. | |
| dc.date.accessioned | 2023-06-20T09:40:21Z | |
| dc.date.available | 2023-06-20T09:40:21Z | |
| dc.date.issued | 2006 | |
| dc.description | Conference of the World-Academy-of-Science-Engineering-and-Technology. Barcelona, SPAIN. OCT 22-24, 2006. | |
| dc.description.abstract | Statistical 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.department | Depto. de Análisis Matemático y Matemática Aplicada | |
| dc.description.faculty | Fac. de Ciencias Matemáticas | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | Universidad Complutense de Madrid | |
| dc.description.sponsorship | Ministerio de Educacion y Ciencia (Ramón y Cajal) | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/16815 | |
| dc.identifier.issn | 1307-6884 | |
| dc.identifier.officialurl | http://www.waset.org/journals/waset/v15/v15-122.pdf | |
| dc.identifier.relatedurl | http://www.waset.org/ | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/50155 | |
| dc.journal.title | Proceedings of World Academy of Science Engineering and Technology | |
| dc.language.iso | eng | |
| dc.page.final | 36 | |
| dc.page.initial | 31 | |
| dc.publisher | World Academy of Science, Engineering & Technology | |
| dc.relation.projectID | PR1/06-14482-B | |
| dc.rights.accessRights | restricted access | |
| dc.subject.cdu | 512.74 | |
| dc.subject.keyword | Integrate and fire neuron | |
| dc.subject.keyword | Neural network models | |
| dc.subject.keyword | Spike trains | |
| dc.subject.keyword | Dorsal column nuclei | |
| dc.subject.keyword | Connectivity | |
| dc.subject.keyword | Models | |
| dc.subject.keyword | Rat | |
| dc.subject.ucm | Grupos (Matemáticas) | |
| dc.title | Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings | |
| dc.type | journal article | |
| dc.volume.number | 15 | |
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| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | a5728eb3-1e14-4d59-9d6f-d7aa78f88594 | |
| relation.isAuthorOfPublication.latestForDiscovery | a5728eb3-1e14-4d59-9d6f-d7aa78f88594 |
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