<--- Back to Details
First PageDocument Content
Neuroscience / Computational neuroscience / Cognition / Cognitive science / Artificial neural networks / Nervous system / Artificial intelligence / Connectionism / Biological neural network / Neuron / Hybrid neural network / Nervous system network models
Date: 2016-01-21 10:51:51
Neuroscience
Computational neuroscience
Cognition
Cognitive science
Artificial neural networks
Nervous system
Artificial intelligence
Connectionism
Biological neural network
Neuron
Hybrid neural network
Nervous system network models

Perceptrons Informatics 1 CG: Lecture 5 Mirella Lapata School of Informatics University of Edinburgh

Add to Reading List

Source URL: www.inf.ed.ac.uk

Download Document from Source Website

File Size: 518,70 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