Dr Chandrasekhar Kambhampati C.Kambhampati@hull.ac.uk
Reader in Computer Science
Spiking neurons and synaptic stimuli : determining the fidelity of coincidence-factor in neural response comparison
Kambhampati, Chandrasekhar; Sarangdhar, Mayur
Authors
Mayur Sarangdhar
Abstract
Similarity between two spike trains is generally estimated using a ‘coincidence factor’. This factor relies on counting coincidences of firing-times for spikes in a given time window. However, in cases where there are significant fluctuations in membrane voltages, this uni-dimensional view is not sufficient. Results in this paper show that a two-dimensional approach taking both firing-time and the magnitude of spikes is necessary to determine similarity between spike trains. It is observed that the difference between the lower-bound limit of faithful behaviour and the reference inter-spike interval (ISI) reduces with the increase in the ISI of the input spike train. This indicates that spike trains generated by two highly-varying currents have a high coincidence factor thus indicating higher similarity – a limitation imposed due to a one-dimensional comparison approach. These results are analysed based on the responses of a Hodgkin-Huxley neuron, where the synaptic input induces fluctuations in the output membrane voltage. The requirement for a two-dimensional analysis is further supported by a clustering algorithm which differentiates between two visually-distinct responses as opposed to coincidence-factor.
Citation
Kambhampati, C., & Sarangdhar, M. (2008). Spiking neurons and synaptic stimuli : determining the fidelity of coincidence-factor in neural response comparison. Engineering Letters International Association of Engineers, 16(4), 512-517
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 1, 2008 |
Publication Date | 2008 |
Deposit Date | Nov 13, 2014 |
Publicly Available Date | Nov 13, 2014 |
Journal | Engineering letters |
Electronic ISSN | 1816-0948 |
Peer Reviewed | Peer Reviewed |
Volume | 16 |
Issue | 4 |
Pages | 512-517 |
Keywords | REF 2014 submission |
Public URL | https://hull-repository.worktribe.com/output/470335 |
Publisher URL | http://www.engineeringletters.com/issues_v16/issue_4/EL_16_4_08.pdf |
Additional Information | Copy of article first published in: Engineering letters, 2008, v.16, issue 4 |
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