Output details
11 - Computer Science and Informatics
University of Hull
Spiking neurons and synaptic stimuli: determining the fidelity of coincidence-factor in neural response comparison
<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.