Measuring spike pattern reliability with the Lempel-Ziv-distance.

摘要: Spike train distance measures serve two purposes: to measure neuronal firing reliability, and provide a metric with which spike trains can be classified. We introduce novel based on the Lempel-Ziv complexity that does not require choice of arbitrary analysis parameters, is easy implement, computationally cheap. determine reliability in vivo by calculating deviation mean obtained from multiple presentations an identical stimulus Poisson reference. Using both Lempel-Ziv-distance (LZ-distance) focussing coincident firing, pattern timing determined for data along visual information processing pathway macaque monkey (LGN, simple complex cells V1, area MT). In combination sequential superparamagnetic clustering algorithm, we show LZ-distance groups together similar but necessarily synchronized patterns. For applications, how gives additional insights, as it adds new perspective problem determination allows neuron classifications cases, where other fail.