Recurrence plots of neuronal spike trains

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 stru...

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Bibliographic Details
Published in:Biological cybernetics 1993, Vol.68 (6), p.527-534
Main Authors: KAŁUZNY, P, TARNECKI, R
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Animals
Behavioral psychophysiology
Biological and medical sciences
Cats
Cerebellum - physiology
Cybernetics
Electrophysiology
Fundamental and applied biological sciences. Psychology
Models, Neurological
Nerve Net - physiology
Neurons - physiology
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
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Summary: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.
ISSN:0340-1200
1432-0770
DOI:10.1007/BF00200812