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NECO
1998
69views more  NECO 1998»
15 years 6 months ago
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia
Synaptic runaway denotes the formationof erroneous synapses and premature functional decline accompanying activity-dependent learning in neural networks. This work studies synapti...
Asnat Greenstein-Messica, Eytan Ruppin
ICANN
2007
Springer
16 years 1 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
CEC
2005
IEEE
15 years 8 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
IJCNN
2000
IEEE
15 years 11 months ago
Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique
In our recent work, a general method called the stable state analysis technique was developed to determine constraints that the weights in the Hopfield energy function must satisf...
Gang Feng, Christos Douligeris
CORR
2008
Springer
69views Education» more  CORR 2008»
15 years 7 months ago
Solving Time of Least Square Systems in Sigma-Pi Unit Networks
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Pierre Courrieu