71 search results - page 4 / 15 » A Neural Model for Context-dependent Sequence Learning |
ICANN
2009
Springer
14 years 10 hour ago
2009
Springer
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
NN
2007
Springer
13 years 6 months ago
2007
Springer
Recent studies have shown that place cells in the hippocampal CA1 region fire in a sequence sensitive manner. In this study we tested if hippocampal CA3 and CA1 regions can give ...
BMCBI
2005
13 years 7 months ago
2005
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
WAPCV
2004
Springer
14 years 22 days ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...