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ICNC
2005
Springer
15 years 5 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
IJON
2007
120views more  IJON 2007»
14 years 11 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
ARC
2009
Springer
175views Hardware» more  ARC 2009»
15 years 6 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
BIOSYSTEMS
2008
84views more  BIOSYSTEMS 2008»
14 years 12 months ago
Decoding spike timing: The differential reverse-correlation method
It is widely acknowledged that detailed timing of action potentials is used to encode information, for example, in auditory pathways; however, the computational tools required to ...
Gasper Tkacik, Marcelo O. Magnasco
IJCNN
2006
IEEE
15 years 5 months ago
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor
— In recent years, many people have been trying to develop some applications to information processing by exploiting oscillatory phenomena in neural networks. Bifurcation and sta...
Yoko Uwate, Yoshifumi Nishio