Cross nearest-spike interval based method to measure synchrony dynamics
A new synchrony index for neural activity is defined in this paper. The method is able to measure synchrony dynamics in low firing rate scenarios. It is based on the computation of the time intervals between nearest spikes of two given spike trains. Generalized additive models are proposed for the...
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| Format: | Article |
| Language: | English |
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AIMS Press
2013-08-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.27 |
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| author | Aldana M. González Montoro Ricardo Cao Christel Faes Geert Molenberghs Nelson Espinosa Javier Cudeiro Jorge Mariño |
| author_facet | Aldana M. González Montoro Ricardo Cao Christel Faes Geert Molenberghs Nelson Espinosa Javier Cudeiro Jorge Mariño |
| author_sort | Aldana M. González Montoro |
| collection | DOAJ |
| description | A new synchrony index for neural activity is defined in this paper. The method is able to measure synchrony dynamics in low firing rate scenarios. It is based on the computation of the time intervals between nearest spikes of two given spike trains. Generalized additive models are proposed for the synchrony profiles obtained by this method. Two hypothesis tests are proposed to assess for differences in the level of synchronization in a real data example. Bootstrap methods are used to calibrate the distribution of the tests. Also, the expected synchrony due to chance is computed analytically and by simulation to assess for actual synchronization. |
| format | Article |
| id | doaj-art-389c83e489e64ddfad4f44f8cb29ca6b |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2013-08-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-389c83e489e64ddfad4f44f8cb29ca6b2025-01-24T02:26:48ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-08-01111274810.3934/mbe.2014.11.27Cross nearest-spike interval based method to measure synchrony dynamicsAldana M. González Montoro0Ricardo Cao1Christel Faes2Geert Molenberghs3Nelson Espinosa4Javier Cudeiro5Jorge Mariño6Department of Mathematics, Facultad de Informática, Campus de Elviña s/n, 15071, Universidade da Coruña, A CoruñaDepartment of Mathematics, Facultad de Informática, Campus de Elviña s/n, 15071, Universidade da Coruña, A CoruñaInteruniversity Institute for Biostatistics and statistical Bionformatics, Hasselt University and KULeuven, HasseltInteruniversity Institute for Biostatistics and statistical Bionformatics, Hasselt University and KULeuven, HasseltNeuroscience and Motor Control Group (NEUROcom), Department of Medicine, Facultad de Ciencias de la Salud, Campus de Oza s/n, 15006, Universidade da Coruña, A CoruñaNeuroscience and Motor Control Group (NEUROcom), Department of Medicine, Facultad de Ciencias de la Salud, Campus de Oza s/n, 15006, Universidade da Coruña, A CoruñaNeuroscience and Motor Control Group (NEUROcom), Department of Medicine, Facultad de Ciencias de la Salud, Campus de Oza s/n, 15006, Universidade da Coruña, A CoruñaA new synchrony index for neural activity is defined in this paper. The method is able to measure synchrony dynamics in low firing rate scenarios. It is based on the computation of the time intervals between nearest spikes of two given spike trains. Generalized additive models are proposed for the synchrony profiles obtained by this method. Two hypothesis tests are proposed to assess for differences in the level of synchronization in a real data example. Bootstrap methods are used to calibrate the distribution of the tests. Also, the expected synchrony due to chance is computed analytically and by simulation to assess for actual synchronization.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.27spontaneous activitygeneralized additive modelssleep-wakebootstrapsynchronization. |
| spellingShingle | Aldana M. González Montoro Ricardo Cao Christel Faes Geert Molenberghs Nelson Espinosa Javier Cudeiro Jorge Mariño Cross nearest-spike interval based method to measure synchrony dynamics Mathematical Biosciences and Engineering spontaneous activity generalized additive models sleep-wake bootstrap synchronization. |
| title | Cross nearest-spike interval based method to measure synchrony dynamics |
| title_full | Cross nearest-spike interval based method to measure synchrony dynamics |
| title_fullStr | Cross nearest-spike interval based method to measure synchrony dynamics |
| title_full_unstemmed | Cross nearest-spike interval based method to measure synchrony dynamics |
| title_short | Cross nearest-spike interval based method to measure synchrony dynamics |
| title_sort | cross nearest spike interval based method to measure synchrony dynamics |
| topic | spontaneous activity generalized additive models sleep-wake bootstrap synchronization. |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.27 |
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