Studying spike trains using a van Rossum metric with a synapse-like filter |
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Authors: | Email author" target="_blank">Conor?HoughtonEmail author |
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Institution: | (1) School of Mathematics, Trinity College Dublin, Dublin, Ireland |
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Abstract: | Spike trains are unreliable. For example, in the primary sensory areas, spike patterns and precise spike times will vary between
responses to the same stimulus. Nonetheless, information about sensory inputs is communicated in the form of spike trains.
A challenge in understanding spike trains is to assess the significance of individual spikes in encoding information. One
approach is to define a spike train metric, allowing a distance to be calculated between pairs of spike trains. In a good
metric, this distance will depend on the information the spike trains encode. This method has been used previously to calculate
the timescale over which the precision of spike times is significant. Here, a new metric is constructed based on a simple
model of synaptic conductances which includes binding site depletion. Including binding site depletion in the metric means
that a given individual spike has a smaller effect on the distance if it occurs soon after other spikes. The metric proves
effective at classifying neuronal responses by stimuli in the sample data set of electro-physiological recordings from the
primary auditory area of the zebra finch fore-brain. This shows that this is an effective metric for these spike trains suggesting
that in these spike trains the significance of a spike is modulated by its proximity to previous spikes. This modulation is
a putative information-coding property of spike trains. |
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Keywords: | Spike trains Information Metric Song birds Auditory pathway |
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