Recurrence plots of neuronal spike trains

Biological Cybernetics volume 68, pages 527–534 (1993)Cite this article

Abstract

The recently developed qualitative method of diagnosis of dynamical systems — recurrence plots has been applied to the analysis of dynamics of neuronal spike trains recorded from cerebellum and red nucleus of anesthetized cats. Recurrence plots revealed robust and common changes in the similarity structure of interspike interval sequences as well as significant deviations from randomness in serial ordering of intervals. Recurring episodes of alike, quasi-deterministic firing patterns suggest the spontaneous modulation of the dynamical complexity of the trajectories of observed neurons. These modulations are associated with changing dynamical properties of a neuronal spike-train-generating system. Their existence is compatible with the information processing paradigm of attractor neural networks.

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Affiliations

  1. Department of Neurophysiology, Nencki Institute of Experimental Biology, Pasteur 3, 02-093, Warsaw, Poland

    Pawel Kałużny & Remigiusz Tarnecki

Authors
  1. Pawel Kałużny
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  2. Remigiusz Tarnecki
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Correspondence to Pawel Kałużny.

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Kałużny, P., Tarnecki, R. Recurrence plots of neuronal spike trains. Biol. Cybern. 68, 527–534 (1993). https://doi.org/10.1007/BF00200812

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Keywords

  • Neural Network
  • Dynamical System
  • Information Processing
  • Dynamical Property
  • Qualitative Method