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EUSFLAT
2003
15 years 8 months ago
Stability of backpropagation learning rule
A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
Petr Krupanský, Petr Pivoñka, Jiri D...
NIPS
2001
15 years 8 months ago
Reinforcement Learning with Long Short-Term Memory
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
Bram Bakker
NN
2006
Springer
15 years 6 months ago
A model of surround suppression through cortical feedback
Surround suppression occurs when a visual stimulus outside a neuron's classical receptive field causes a reduction in firing rate. It has become clear that several mechanisms...
Thomas J. Sullivan, Virginia R. de Sa
NN
2006
Springer
15 years 6 months ago
Homeostatic synaptic scaling in self-organizing maps
Various forms of the self-organizing map (SOM) have been proposed as models of cortical development [Choe Y., Miikkulainen R., (2004). Contour integration and segmentation with se...
Thomas J. Sullivan, Virginia R. de Sa
NN
2006
Springer
108views Neural Networks» more  NN 2006»
15 years 6 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer