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» A Framework for Grid-based Neural Networks
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IWANN
2005
Springer
15 years 3 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 2 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
ASC
2006
14 years 11 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
NPL
2002
110views more  NPL 2002»
14 years 9 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
ICASSP
2009
IEEE
15 years 4 months ago
Visual grouping by neural oscillators
Distributed synchronization is known to occur at several scales in the brain, and has been suggested as playing a key functional role in perceptual grouping. State-of-the-art visu...
Guoshen Yu, Jean-Jacques E. Slotine