43 search results - page 2 / 9 » Lattice Neural Networks with Spike Trains |
EAAI
2006
13 years 6 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...
CDC
2008
IEEE
14 years 21 days ago
2008
IEEE
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
IJCNN
2007
IEEE
14 years 16 days 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...
IJCNN
2007
IEEE
14 years 16 days ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
IJCNN
2006
IEEE
14 years 8 days ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...