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Hopfield network
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11	Selfreparing Neural Networks: a Model for Recovery from Brain Damage Jaap M.J. Murre1,2, Robert Griffioen1, and I.H. Robertson3 1 University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands Add to Reading List Source URL: www.neuromod.org Language: English - Date: 2008-09-29 07:21:34 Neuroscience Science Hopfield network Artificial neural network Hebbian theory Biological neural network Connectionism Attractor network Brain Neural networks Computational neuroscience Cybernetics
12	Artificial Neural Networks – Lab 5 Self-organising feature maps and Hopfield networks Purpose To study clustering with a self-organising feature map and pattern association with a Hopfield network. Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-02-08 05:38:25 Cybernetics Machine learning Computational statistics Hopfield network Networks Artificial neural network Self-organizing map Statistical classification Storage Neural networks Computational neuroscience Statistics
13	Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network Manzano, O.R.; Veredas, F.; GuillCn, M.J.; Vico, F.J.; Roman, J. Group of Studes in BiOmimelEcs Pmque Tecnoi3gico de Analaluc Add to Reading List Source URL: geb.uma.es Language: English - Date: 2012-09-06 08:14:52 Computational neuroscience Mind Nervous system Networks Hopfield network Attractor network Hebbian theory Artificial neural network Synaptic plasticity Neural networks Neuroscience Biology
14	International Journal of Neural Systems, Vol. 8, No. 4 (August, –415 Special Issue on Data Mining in Finance c World Scientific Publishing Company A CONSTRAINED NEURAL NETWORK KALMAN FILTER Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:49 Systems theory Electronic engineering Robot control Computational neuroscience Linear filters Kalman filter Observability Recurrent neural network Hopfield network Cybernetics Neural networks Control theory
15	352 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 37, NO. 3, MAY 2007 Incorporating Web Analysis Into Neural Networks: An Example in Hopfield Net Searching Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2007-04-24 19:21:46 Science Hopfield network Artificial neural network PageRank Web crawler HITS algorithm Google Search Perceptron Recurrent neural network Neural networks Cybernetics Statistics
16	Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2010 Proceedings Americas Conference on Information Systems Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2011-11-01 05:52:35 Statistics Hopfield network Visualization Hyperbolic tree Social networking service Browse Artificial neural network Self-organizing map Neural networks Science Machine learning
17	C++ Neural Networks and Fuzzy Logic - Table of Contents Add to Reading List Source URL: cdn.preterhuman.net Language: English - Date: 2012-10-01 15:30:08 Science Backpropagation Hopfield network Perceptron Fuzzy associative memory Multilayer perceptron Artificial neuron Adaptive resonance theory Fuzzy control system Neural networks Machine learning Cybernetics
18	Spacesuits with artificial intelligence may look for life on Mars Add to Reading List Source URL: phys.org Language: English - Date: 2015-03-04 04:43:21 Mars Reconnaissance Orbiter Neural networks Computational neuroscience Hopfield network Mars Society Rivas-Vaciamadrid CRISM Space suit Mars Desert Research Station Spaceflight Spacecraft Space technology
19	Further Predictions from a Neural Network Model of Retrieval Induced Forgetting Kenneth Norman, Ehren Newman, & Greg Detre Department of Psychology and Center for the Study of Brain, Mind, and Behavior, Princeton Univers Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2010-11-05 09:43:46 Cognitive science Memory inhibition Interference theory Recall Forgetting Hopfield network Mind Memory Mental processes
20	How Theta Oscillations Can Train Neural Networks and Punish Competitors Kenneth Norman, Ehren Newman, Greg Detre, & Sean Polyn Department of Psychology and Center for the Study of Brain, Mind, and Behavior, Princeton Uni Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2010-11-05 09:48:42 Neurophysiology Computational neuroscience Neural networks Electrophysiology Neural oscillation Working memory Theta rhythm Inhibitory postsynaptic potential Hopfield network Biology Neuroscience Nervous system

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