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Output details

11 - Computer Science and Informatics

University of Hull

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Output 39 of 50 in the submission

Article title

Spiking neurons and synaptic stimuli: determining the fidelity of coincidence-factor in neural response comparison

Type

D - Journal article

DOI

10.1007/978-90-481-2311-7_58

Title of journal

Engineering Letters

Article number

Volume number

Issue number

First page of article

512

ISSN of journal

1816-093X

Year of publication

2008

URL

Number of additional authors

Additional information

<28> Similarity between two spike trains is estimated using a ‘coincidence factor’, which relies on counting coincidences of firing-times for spikes in a given time window. However, spike trains generated by two highly-varying currents have a high coincidence factor falsely indicating similarity – a limitation imposed by the current one-dimensional comparison approaches. The presentation of some of the results from the development of this new 2-D coincidence factor received an award when presented at the World Congress of Engineering 2008. The two papers (3 and 4) represent a new methodology for modelling of neuronal activity and its applications in medical systems.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract