Rate synchronization as a deterministic signal in neural spike trains
We introduce a simple method to analyze recorded spike trains in sensory neurons that allows to reveal deterministic aspects of spiking dynamics. In particular, events with an associated firing rate fr, are defined whenever two successive spikes on a given cell α occur at times ti α and ti-1α such t...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_09252312_v58-60_n_p1145_Ortega |
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todo:paper_09252312_v58-60_n_p1145_Ortega2023-10-03T15:46:09Z Rate synchronization as a deterministic signal in neural spike trains Ortega, G.J. Bongard, M. Louis, E. Fernandez, E. Ganglion cells Neural code Synchronization Cells Correlation methods Signal theory Synchronization Time series analysis Neural spikes Spiking dynamics Neurology analytic method animal cell article cell synchronization controlled study correlation function experimentation mathematical analysis multivariate analysis nerve cell stimulation nonhuman Poisson distribution priority journal recording retina ganglion cell sensory nerve cell spike wave time series analysis We introduce a simple method to analyze recorded spike trains in sensory neurons that allows to reveal deterministic aspects of spiking dynamics. In particular, events with an associated firing rate fr, are defined whenever two successive spikes on a given cell α occur at times ti α and ti-1α such that (fr+Δfr)-1< ti α-ti-1α <(fr -Δfr)-1, for a given Δfr. We then look for synchronization of those events on different cells. Our results show that synchronized events are sharply correlated with stimuli. The method is used to analyze experimental time series obtained on retinal ganglion cells and synthetic time series. © 2004 Elsevier B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09252312_v58-60_n_p1145_Ortega |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Ganglion cells Neural code Synchronization Cells Correlation methods Signal theory Synchronization Time series analysis Neural spikes Spiking dynamics Neurology analytic method animal cell article cell synchronization controlled study correlation function experimentation mathematical analysis multivariate analysis nerve cell stimulation nonhuman Poisson distribution priority journal recording retina ganglion cell sensory nerve cell spike wave time series analysis |
| spellingShingle |
Ganglion cells Neural code Synchronization Cells Correlation methods Signal theory Synchronization Time series analysis Neural spikes Spiking dynamics Neurology analytic method animal cell article cell synchronization controlled study correlation function experimentation mathematical analysis multivariate analysis nerve cell stimulation nonhuman Poisson distribution priority journal recording retina ganglion cell sensory nerve cell spike wave time series analysis Ortega, G.J. Bongard, M. Louis, E. Fernandez, E. Rate synchronization as a deterministic signal in neural spike trains |
| topic_facet |
Ganglion cells Neural code Synchronization Cells Correlation methods Signal theory Synchronization Time series analysis Neural spikes Spiking dynamics Neurology analytic method animal cell article cell synchronization controlled study correlation function experimentation mathematical analysis multivariate analysis nerve cell stimulation nonhuman Poisson distribution priority journal recording retina ganglion cell sensory nerve cell spike wave time series analysis |
| description |
We introduce a simple method to analyze recorded spike trains in sensory neurons that allows to reveal deterministic aspects of spiking dynamics. In particular, events with an associated firing rate fr, are defined whenever two successive spikes on a given cell α occur at times ti α and ti-1α such that (fr+Δfr)-1< ti α-ti-1α <(fr -Δfr)-1, for a given Δfr. We then look for synchronization of those events on different cells. Our results show that synchronized events are sharply correlated with stimuli. The method is used to analyze experimental time series obtained on retinal ganglion cells and synthetic time series. © 2004 Elsevier B.V. All rights reserved. |
| format |
JOUR |
| author |
Ortega, G.J. Bongard, M. Louis, E. Fernandez, E. |
| author_facet |
Ortega, G.J. Bongard, M. Louis, E. Fernandez, E. |
| author_sort |
Ortega, G.J. |
| title |
Rate synchronization as a deterministic signal in neural spike trains |
| title_short |
Rate synchronization as a deterministic signal in neural spike trains |
| title_full |
Rate synchronization as a deterministic signal in neural spike trains |
| title_fullStr |
Rate synchronization as a deterministic signal in neural spike trains |
| title_full_unstemmed |
Rate synchronization as a deterministic signal in neural spike trains |
| title_sort |
rate synchronization as a deterministic signal in neural spike trains |
| url |
http://hdl.handle.net/20.500.12110/paper_09252312_v58-60_n_p1145_Ortega |
| work_keys_str_mv |
AT ortegagj ratesynchronizationasadeterministicsignalinneuralspiketrains AT bongardm ratesynchronizationasadeterministicsignalinneuralspiketrains AT louise ratesynchronizationasadeterministicsignalinneuralspiketrains AT fernandeze ratesynchronizationasadeterministicsignalinneuralspiketrains |
| _version_ |
1807319798762176512 |