53 search results - page 2 / 11 » Saliency extraction with a distributed spiking neural networ... |
NIPS
2008
13 years 7 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
KES
2008
Springer
13 years 5 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...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
The storage and short-term memory capacities of recurrent neural networks of spiking neurons are investigated. We demonstrate that it is possible to process online many superimpose...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...