Training Artificial Neural Networks for Fuzzy Logic

First Page		Document Content
Date: 2013-03-26 14:33:18 Fuzzy logic Science Mathematics Artificial intelligence Artificial neural network T-norm Artificial neuron Neural networks Computational neuroscience Logic		Training Artificial Neural Networks for Fuzzy Logic Add to Reading List Source URL: www.complex-systems.com Download Document from Source Website File Size: 3,91 MB Share Document on Facebook

	Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im DocID: 1vcJi - View Document
	munich Bernstein Center for Computational Neuroscience Munich DocID: 1vcv8 - View Document
	Blending computational and experimental neuroscience DocID: 1v9kZ - View Document
	Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying DocID: 1v914 - View Document
	Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar DocID: 1uuia - View Document