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IWANN
1997
Springer
15 years 1 months ago
Dynamic Path Planning with Spiking Neural Networks
: 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 ...
Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich K...
74
Voted
ICONIP
2007
14 years 11 months ago
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative mod...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
77
Voted
IJCNN
2007
IEEE
15 years 3 months ago
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
Il Park, António R. C. Paiva, Jose C. Princ...
IJCNN
2008
IEEE
15 years 4 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
60
Voted
IJON
2006
71views more  IJON 2006»
14 years 9 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger