90 search results - page 1 / 18 » Dynamic Path Planning with Spiking Neural Networks |
IWANN
1997
Springer
13 years 8 months ago
1997
Springer
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. One focus of recent research in the field of biologically plausible neural networks is the investigation of higher-level functions such as learning, development and modu...
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...
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...
ALIFE
2006
13 years 4 months ago
2006
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...