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dc.contributor.authorChristodoulou, Chris C.en
dc.contributor.authorClarkson, T.en
dc.contributor.editorMira J.en
dc.contributor.editorSandoval F.en
dc.creatorChristodoulou, Chris C.en
dc.creatorClarkson, T.en
dc.description.abstractThe types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines the neurobiological spike trains observed experimentally and analytically and presents how they can be modelled and accounted for by using the biologically inspired Temporal Noisy-Leak), Integrator (TNLI) neuron model, with partial reset. The complete randomness or high firing variability, can be achieved for certain input parameter values at high firing rates, which results from the dendritic temporal summation of postsynaptic responses and the use of random synaptic inputs. It is also demonstrated that bursting behaviour can indeed be achieved, using the TNLI, which is a result of the use of random synapses and distal inputs. The firing variability is demonstrated by calculating the Coefficient of Variation (Cv) of the interspike interval (ISI) distribution and by observing the corresponding ISI histograms. © 1995, Springer Verlag. All rights reserved.en
dc.source3rd International Workshop on Artificial Neural Networks, IWANN 1995en
dc.subjectStatistical methodsen
dc.subjectNeural networksen
dc.subjectStochastic systemsen
dc.subjectBiologically inspireden
dc.subjectCoefficient of variationen
dc.subjectTemporal summationen
dc.subjectInput parameteren
dc.subjectInterspike interval distributionsen
dc.subjectNeuron modelen
dc.subjectPartial resetsen
dc.subjectSynaptic inputen
dc.titleA review on the stochastic firing behaviour of real neurons and how it can be modelleden
dc.description.endingpage230 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.description.notes<p>Sponsors: CICYT, Spainen
dc.description.notesDG-XII Human Capital and Mobility (EC)en
dc.description.notesDGICYT (MEC)en
dc.description.notesJunta de Andaluciaen
dc.description.notesConference code: 145669</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidChristodoulou, Chris C. [0000-0001-9398-5256]

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