ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Emergence of oriented cell assemblies associated with spike-timing-dependent plasticity
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Detection of a dynamical system attractor from spike train analysis
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Neuronal cell death and synaptic pruning driven by spike-timing dependent plasticity
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Effect of Feedback Strength in Coupled Spiking Neural Networks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
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We simulated a large scale spiking neural network characterized by an initial developmental phase featuring cell death driven by an excessive firing rate, followed by the onset of spike-timing-dependent synaptic plasticity (STDP), driven by spatiotemporal patterns of stimulation. The network activity stabilized such that recurrent preferred firing sequences appeared along the STDP phase. The analysis of the statistical properties of these patterns give hints to the hypothesis that a neural network may be characterized by a particular state of an underlying dynamical system that produces recurrent firing patterns.