1029 search results - page 13 / 206 » Neural Networks and Complexity Theory |
550
Voted
Tutorial
This article provides a basic introduction to neural networks and neural network programming using the Encog Artificial Intelligence Framework. Encog is an AI framework that is ava...
132
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
137
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
113
Voted
SBRN
2002
IEEE
15 years 8 months ago
2002
IEEE
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
110
Voted
NIPS
2001
15 years 5 months ago
2001
Integration in the head-direction system is a computation by which horizontal angular head velocity signals from the vestibular nuclei are integrated to yield a neural representat...