171 search results - page 18 / 35 » Spike Trains in Spiking Neural P Systems |
COGSR
2011
13 years 2 months ago
2011
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
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...
IJON
2002
13 years 7 months ago
2002
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
KES
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
ISCAS
2007
IEEE
14 years 1 months ago
2007
IEEE
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...