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ESANN
2008
15 years 8 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
ASAP
2009
IEEE
182views Hardware» more  ASAP 2009»
16 years 4 months ago
NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
Andreas Fidjeland, Etienne B. Roesch, Murray Shana...
ICANN
2005
Springer
16 years 11 days ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
182
Voted
NN
1998
Springer
15 years 6 months ago
A neural model of the saccade generator in the reticular formation
: 397 Words 20 Text Pages 5 Appendix Pages 5 Reference Pages 5 Table and Figure Caption Pages 17 Figures, 1 Table Running Title: Saccade Generator Model xSupported in part by the D...
Gregory Gancarz, Stephen Grossberg
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 1 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...