Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks

Regularly spiking neurons are classified into two categories, Class I and Class II, by their firing properties for constant inputs. To investigate how the firing properties of single neurons affect to ensemble rhythmic activities in neural networks, we constructed different types of neural networks...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hosaka, Ryosuke, Ikeguchi, Tohru, Aihara, Kazuyuki
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Excitatory Neuron Inhibitory Neuron Neural Network Rhythmic Activity Synaptic Weight
Online-Zugang:	Volltext
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