1707 search results - page 2 / 342 » Modeling spiking neural networks |
ICANN
2003
Springer
13 years 9 months ago
2003
Springer
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
GECCO
2004
Springer
13 years 10 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...
EVOW
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
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...
ESANN
2008
13 years 6 months ago
2008
We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate...