26 search results - page 1 / 6 » Backpropagation for Population-Temporal Coded Spiking Neural... |
IJCNN
2006
IEEE
13 years 10 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...
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...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
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...