11 search results - page 1 / 3 » Learning under weight constraints in networks of temporal en... |
70
Voted
IJON
2006
14 years 11 months ago
2006
83
Voted
IJON
2002
14 years 10 months ago
2002
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
102
Voted
ESANN
2000
15 years 7 days ago
2000
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
IJCNN
2000
IEEE
15 years 2 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...