Study of nitric oxide effect in the Hebbian learning: towards a diffusive Hebb’s law
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
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The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of burst synchronization. The inherent activity of the neurons is controlled by a set of three delay differential equations. We take into account time delays due to propagational and synaptical delays, nonlinearities due to the synaptic transmission process and the spike generation. Intermittent synchronized network activity is observed. A mechanism for this self organized activity is proposed and bases on the occurrence and propagation of bursting activity. The results are discussed in the context of epilepsy research.