748 search results - page 5 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
DAGM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
IJON
2006
13 years 6 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
We describe in this paper an advanced protocol for the discrimination and the classification of neuronal spike waveforms within multichannel electrophysiological recordings. Sparse...
ICMLA
2010
13 years 4 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...