748 search results - page 6 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
GECCO
2004
Springer
14 years 2 days ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
EWRL
2008
13 years 8 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
IJCNN
2006
IEEE
14 years 22 days ago
2006
IEEE
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...