Biologically realizable reward-modulated hebbian training for spiking neural networks

Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximators. Spiking neural networks offer several advantages over sigmoidal networks, because they can approximate the dynamics of b...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ferrari, S., Mehta, B., Di Muro, G., VanDongen, A.M.J., Henriquez, C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Biological neural networks Biological system modeling Biology Firing Neurons Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!