59 search results - page 5 / 12 » A spiking neuron model: applications and learning |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
NIPS
2004
13 years 9 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ICES
2003
Springer
14 years 24 days ago
2003
Springer
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
IJON
2006
13 years 7 months ago
2006
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
GECCO
2004
Springer
14 years 1 months 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...