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Updated: Aug 11, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Self-exciting chaos as a dynamic model for irregular neural spiking
Baier1, Escalera Santos GJ, Perales
1Facultad de Ciencias, Universidad Autonoma del Estado de Morelos Col. Chamilpa, 62210 Cuernavaca, Morelos, Mexico.
Abstract:
We introduce a nonlinear dynamical system with self-exciting chaotic dynamics. Its interspike interval return map shows a noisy Poisson-like distribution. Spike sequences from different initial conditions are unrelated but possess the same mean frequency. In the presence of noisy perturbations, sequences started from different initial conditions synchronize. The features of the model are compared with experimental results for irregular spike sequences in neurons. Self-exciting chaos offers a mechanism for temporal coding of complex input signals.
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