A new multi-neuron spike-train metric.
Conor Houghton and Kamal Sen,
Neural Computation 20 (2008) 1495-1511.

AbstractThe Victor-Purpura spike-train metric has recently been extended to a family of multi-neuron metrics and used to analyze spike trains recorded simultaneously from pairs of proximate neurons. The Victor-Purpura metric is one of the two metrics commonly used for quantify- ing the distance between two spike trains, the other is the van Rossum metric. Here, we suggest an extension of the van Rossum metric to a multi-neuron metric. We believe this gives a metric which is both natural and easy to calculate. Both types of multi-neuron metric are applied to simulated data and are compared.

Blurb: A spike train metric measures a distance between spike trains that is smaller for responses to similar stimuli than for responses to very different stimuli. This paper introduces a spike train metric for multi-unit data; this metric is inexpensive to calculate, allowing metric-based approaches to be applied to multi-unit recordings.