43 search results - page 5 / 9 » Lattice Neural Networks with Spike Trains |
ARC
2009
Springer
14 years 2 months ago
2009
Springer
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
DELTA
2008
IEEE
13 years 9 months ago
2008
IEEE
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
KES
2006
Springer
13 years 7 months ago
2006
Springer
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— 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...