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dc.contributor.authorChristodoulou, Chris C.en
dc.contributor.authorClarkson, Trevor G.en
dc.contributor.authorBugmann, Guidoen
dc.contributor.authorTaylor, John G.en
dc.creatorChristodoulou, Chris C.en
dc.creatorClarkson, Trevor G.en
dc.creatorBugmann, Guidoen
dc.creatorTaylor, John G.en
dc.description.abstractUsing the Temporal Noisy-Leaky Integrator (TNLI) neuron model with reset, we observed that high firing variability can be achieved for certain input parameter values which results from the temporal summation of noise in the dendrites and the use of random synaptic inputs (0-pRAMs). This was done by calculating the rate normalised Coefficient of Variation (Cv) of the interspike interval distribution. Recent experimental observations have shown that firing in real cortical neurons is consistent with a near-random process (e.g., Cv ≈ 1), but there has been concern that neuron models which use the temporal integration of random EPSP's can only produce very low firing variability (Cv ≪ 1), (Softky and Koch, 1993). We also show in this paper, that for bursting behaviour large Cv's (Cv ≫ 1) can indeed be achieved, which results from the use of random synapses (0-pRAMs) and distal inputs. For non-bursting behaviour, the irregularity of the output firing of the TNLI increases when inhibitory inputs are added.en
dc.sourceIEEE International Conference on Neural Networks - Conference Proceedingsen
dc.sourceProceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)en
dc.subjectRandom processesen
dc.subjectComputer architectureen
dc.subjectNeural networksen
dc.subjectComputer hardwareen
dc.subjectRandom access storageen
dc.subjectNeuron modelen
dc.subjectArtificial organsen
dc.subjectCoefficients of variationen
dc.subjectPost sypnatic response generatorsen
dc.subjectRandom sypnasesen
dc.subjectTemporal noisy leaky integratoren
dc.titleModelling of the high firing variability of real cortical neurons with the temporal noisy-leaky integrator neuron modelen
dc.description.endingpage2244 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEEen
dc.description.notesConference code: 42367en
dc.description.notesCited By :3</p>en
dc.contributor.orcidChristodoulou, Chris C. [0000-0001-9398-5256]

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