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» Desynchronized stable states in diluted neural networks
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NIPS
2004
13 years 6 months ago
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
Felix Schürmann, Karlheinz Meier, Johannes Sc...
NN
2007
Springer
13 years 5 months ago
Awaking and sleeping of a complex network
A network with a logistic-like local dynamics is considered. We implement a mean-field multiplicative coupling among first-neighbor nodes. When the coupling parameter is small, ...
R. López-Ruiz, Y. Moreno, A. F. Pacheco, S....
NIPS
2008
13 years 6 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
ESANN
2003
13 years 6 months ago
Cellular topographic self-organization under correlational learning
We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi
NPL
2000
146views more  NPL 2000»
13 years 5 months ago
Competitive and Temporal Inhibition Structures with Spiking Neurons
The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated sta...
Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-...