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» The rebirth of neural networks
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178
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BIB
2008
109views more  BIB 2008»
15 years 7 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
172
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CORR
2006
Springer
79views Education» more  CORR 2006»
15 years 6 months ago
May We Have Your Attention: Analysis of a Selective Attention Task
In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to...
Eldan Goldenberg, Jacob R. Garcowski, Randall D. B...
CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 6 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
196
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NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 6 months ago
Compact silicon neuron circuit with spiking and bursting behaviour
A silicon neuron circuit that produces spiking and bursting firing patterns, with biologically plausible spike shape, is presented. The circuit mimics the behaviour of known class...
Jayawan H. B. Wijekoon, Piotr Dudek
NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 6 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle