<--- Back to Details
First PageDocument Content
Computational neuroscience / Artificial neural networks / Computational statistics / Neuroscience / Neural networks / Spiking neural network / Computational intelligence / Neuromorphic engineering / Neuroinformatics / CoDi / Connectionism / Biological neural network
Date: 2014-07-16 23:21:47
Computational neuroscience
Artificial neural networks
Computational statistics
Neuroscience
Neural networks
Spiking neural network
Computational intelligence
Neuromorphic engineering
Neuroinformatics
CoDi
Connectionism
Biological neural network

Tutorial IJCNNSpiking Neural Networks for Machine Learning and Predictive Data Modelling: Methods, Systems, Applications Nikola Kasabov, FIEEE and Nathan Scott Knowledge Engineering and Discovery Research Institut

Add to Reading List

Source URL: www.conference123.org

Download Document from Source Website

File Size: 206,36 KB

Share Document on Facebook

Similar Documents

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

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

munich Bernstein Center for Computational Neuroscience Munich

DocID: 1vcv8 - View Document

Blending computational and experimental neuroscience

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

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

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