5 search results - page 1 / 1 » SpikeProp: backpropagation for networks of spiking neurons |
ESANN
2000
13 years 6 months 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...
IJON
2002
13 years 4 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...
IJCNN
2006
IEEE
13 years 11 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
2008
IEEE
13 years 11 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
FGCN
2008
IEEE
13 years 11 months ago
2008
IEEE
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...