Coefficient of variation vs. mean interspike interval curves: What do they tell use about the brain?
dc.contributor.author | Christodoulou, Chris C. | en |
dc.contributor.author | Bugmann, G. | en |
dc.creator | Christodoulou, Chris C. | en |
dc.creator | Bugmann, G. | en |
dc.date.accessioned | 2019-11-13T10:39:15Z | |
dc.date.available | 2019-11-13T10:39:15Z | |
dc.date.issued | 2001 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53705 | |
dc.description.abstract | A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These models use a range of different biological mechanisms including partial somatic reset, concurrent inhibition and excitation, correlated inputs and network dynamics effects. In this paper we examine which model is more likely to reflect the mechanisms used in the brain and we evaluate the ability of each model to reproduce the experimental coefficient of variation (CV) vs. mean interspike interval (ISI) curves (CV = standard deviation/mean ISI). The results show that the partial somatic reset mechanism is the most likely candidate to reflect the mechanism used in the brain for reproducing irregular firing. © 2001 Elsevier Science B.V. All rights reserved. | en |
dc.source | Neurocomputing | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035384071&doi=10.1016%2fS0925-2312%2801%2900480-5&partnerID=40&md5=13507345dd4b652e832709f7acb4a4b2 | |
dc.subject | article | en |
dc.subject | mathematical model | en |
dc.subject | Statistical methods | en |
dc.subject | Neural networks | en |
dc.subject | controlled study | en |
dc.subject | priority journal | en |
dc.subject | standard | en |
dc.subject | reproducibility | en |
dc.subject | Poisson distribution | en |
dc.subject | Correlation methods | en |
dc.subject | Brain | en |
dc.subject | Poisson process | en |
dc.subject | nerve cell inhibition | en |
dc.subject | nerve cell stimulation | en |
dc.subject | spike wave | en |
dc.subject | brain function | en |
dc.subject | action potential | en |
dc.subject | brain nerve cell | en |
dc.subject | Coefficient of variation (CV) | en |
dc.subject | constants and coefficients | en |
dc.subject | experimentation | en |
dc.subject | High firing variability | en |
dc.subject | Mean interspike interval (ISI) | en |
dc.subject | Network dynamics | en |
dc.subject | Partial reset | en |
dc.subject | somatic cell | en |
dc.title | Coefficient of variation vs. mean interspike interval curves: What do they tell use about the brain? | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/S0925-2312(01)00480-5 | |
dc.description.volume | 38-40 | |
dc.description.startingpage | 1141 | |
dc.description.endingpage | 1149 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :26</p> | en |
dc.source.abbreviation | Neurocomputing | en |
dc.contributor.orcid | Christodoulou, Chris C. [0000-0001-9398-5256] | |
dc.gnosis.orcid | 0000-0001-9398-5256 |
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