5 search results - page 1 / 1 » SpikeProp: backpropagation for networks of spiking neurons |
102
Voted
ESANN
2000
15 years 6 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...
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...
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...
93
Voted
IJCNN
2008
IEEE
15 years 5 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
15 years 5 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...