Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-12-15
Phys. Rev. E 73, 041902 (2006)
Physics
Condensed Matter
Disordered Systems and Neural Networks
14 pages, 24 figures in eps, submitted to Physical Review E
Scientific paper
10.1103/PhysRevE.73.041902
The response of the Hodgkin-Huxley neuronal model subjected to stochastic uncorrelated spike trains originating from a large number of inhibitory and excitatory post-synaptic potentials is analyzed in detail. The model is examined in its three fundamental dynamical regimes: silence, bistability and repetitive firing. Its response is characterized in terms of statistical indicators (interspike-interval distributions and their first moments) as well as of dynamical indicators (autocorrelation functions and conditional entropies). In the silent regime, the coexistence of two different coherence resonances is revealed: one occurs at quite low noise and is related to the stimulation of subthreshold oscillations around the rest state; the second one (at intermediate noise variance) is associated with the regularization of the sequence of spikes emitted by the neuron. Bistability in the low noise limit can be interpreted in terms of jumping processes across barriers activated by stochastic fluctuations. In the repetitive firing regime a maximization of incoherence is observed at finite noise variance. Finally, the mechanisms responsible for spike triggering in the various regimes are clearly identified.
Kreuz Thomas
Luccioli Stefano
Torcini Alessandro
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