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dc.contributor | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
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dc.contributor | Universitat Politècnica de Catalunya. SD - Sistemes Dinàmics de la UPC |
dc.contributor.author | Closas, Pau |
dc.contributor.author | Guillamon Grabolosa, Antoni |
dc.date | 2017-12-01 |
dc.identifier.citation | Closas, P., Guillamon, A. Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density. "Eurasip journal on advances in signal processing", 1 Desembre 2017, núm. 65, p. 1-22. |
dc.identifier.citation | 1687-6172 |
dc.identifier.citation | 10.1186/s13634-017-0499-3 |
dc.identifier.uri | http://hdl.handle.net/2117/108193 |
dc.language.iso | eng |
dc.publisher | HINDAWI |
dc.relation | https://asp-eurasipjournals.springeropen.com/articles/10.1186/s13634-017-0499-3 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Synapses |
dc.subject | Conductance-based model |
dc.subject | Inference and learning |
dc.subject | Intracellular recording |
dc.subject | Particle filtering |
dc.subject | Spiking neuron |
dc.subject | State-space models |
dc.subject | Synaptic conductance estimation |
dc.subject | Sinapsi |
dc.title | Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/article |
dc.description.abstract |