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Artificial neural networks
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#	Item
711	Genetic interference reduces the evolvability of modular and nonmodular visual neural networks Raffaele Calabretta Institute of Cognitive Sciences and Technologies Add to Reading List Source URL: laral.istc.cnr.it Language: English - Date: 2013-07-02 08:14:18 Behavior Neural networks Cognitive science Interdisciplinary fields Cognition Modularity Artificial neural network Connectionism Modular neural networks Science Ethology Computational neuroscience
712	in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Presspp 319–Simulating Turn-Taking Behaviours with Coupled Dynamical Recognizers Add to Reading List Source URL: alife8.alife.org Language: English - Date: 2013-01-14 08:17:32 Neural networks Metaphysics Computational neuroscience Econometrics Systems theory Emergence Self-organization Chaos theory Recurrent neural network Science Artificial intelligence Knowledge
713	in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Presspp 243–Evolving the Morphology of a Neural Network for Controlling a Foveating Retina — and its Test on a Real Robot Add to Reading List Source URL: alife8.alife.org Language: English - Date: 2013-01-14 08:18:06 Gene regulatory network Networks Systems biology Synaptogenesis Neuron Regulation of gene expression T cell Axon guidance Signal transduction Biology Nervous system Gene expression
714	1 Neural Systems and Artificial Life Group Institute of Cognitive Sciences and Technologies Italian National Research Council, Rome Add to Reading List Source URL: laral.istc.cnr.it Language: English - Date: 2013-07-02 08:14:19 Science Machine learning Modular neural networks Backpropagation Genetic algorithm Modularity Artificial life Evolution Artificial neural network Neural networks Computational neuroscience Cybernetics
715	Machine Learning — Past and Future Ray J. Solomonoff Visiting Professor, Computer Learning Research Center Royal Holloway, University of London IDSIA, Galleria 2, CH–6928 Manno–Lugano, Switzerland Add to Reading List Source URL: world.std.com Language: English - Date: 2014-07-03 19:24:36 Artificial intelligence Cybernetics Probability and statistics Neural networks Ray Solomonoff Algorithmic information theory Artificial neural network Genetic algorithm Inductive inference Applied mathematics Mathematics Theoretical computer science
716	A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-10-31 15:01:14 Boltzmann machine Backpropagation Generative model Artificial neuron Independent component analysis Diffusion networks Gibbs sampling Pattern recognition Expectation–maximization algorithm Neural networks Statistics Machine learning
717	in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Presspp 252–A Stochastic Evolutionary Neuron Migration Process with Emerged Hebbian Dynamics Add to Reading List Source URL: alife8.alife.org Language: English - Date: 2013-01-14 08:17:43 Mind Science Nervous system Cognitive science Biological neural network Artificial neural network Hebbian theory Neural ensemble Connectionism Computational neuroscience Neural networks Neuroscience
718	in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Presspp 335–Evolutionary Bits’n’Spikes Dario Floreano, Nicolas Schoeni, Gilles Caprari, Jesper Blynel Add to Reading List Source URL: alife8.alife.org Language: English - Date: 2013-01-14 08:17:24 Nervous system Science Computational neuroscience Neuroscience Neural coding Neuron Brain Biological neural network Dario Floreano Neural networks Biology Mind
719	Logic Systems Laboratory (EPFL): Roadmap in Artificial Neural Network technologies The Logic Systems Laboratory, School of Computer and Communication Sciences, Swiss Federal Institute of Technology-Lausanne (EPFL) conduc Add to Reading List Source URL: lslwww.epfl.ch Language: English - Date: 2003-08-06 08:36:13 Science Cybernetics Artificial intelligence Computational statistics Network architecture Artificial neural network Evolvable hardware Machine learning Fuzzy control system Computational neuroscience Neural networks Applied mathematics
720	in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Presspp 260–Self-Organization in Ad Hoc Sensor Networks: An Empirical Study Elaine Catterall, Kristof Van Laerhoven and Martin Strohbach Add to Reading List Source URL: alife8.alife.org Language: English - Date: 2013-01-14 08:19:19 Self-organizing map Competitive learning Wireless sensor network Sensor Statistics Hybrid Kohonen SOM Learning Vector Quantization Neural networks Machine learning Technology

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