429 search results - page 3 / 86 » On the use of spiking neural network for EEG classification |
SIAMADS
2010
13 years 2 months ago
2010
Precise spatiotemporal sequences of action potentials are observed in many brain areas and are thought to be involved in the neural processing of sensory stimuli. Here, we examine ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
EAAI
2006
13 years 7 months ago
2006
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...