748 search results - page 19 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiki...
ESANN
2007
13 years 8 months ago
2007
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Most reinforcement learning models of animal conditioning operate under the convenient, though fictive, assumption that Pavlovian conditioning concerns prediction learning whereas...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...