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Connectionism
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#	Item
141	A Connectionist Model of the Development of Transitivity Thomas R. Shultz ([removed]) Department of Psychology, McGill University, 1205 Penfield Avenue Montreal, QC H3A 1B1 Canada Abbie Vogel (abbie.vogel@ Add to Reading List Source URL: www.psych.mcgill.ca Language: English - Date: 2004-08-17 15:09:42 Computational neuroscience Memory Mental processes Networks Systems theory Recall Connectionism Neural network Encoding Science Mind Ethology
142	The other hard problem: How to bridge the gap between subsymbolic and symbolic cognition Axel Cleeremans Cognitive Science Research Unit Add to Reading List Source URL: srsc-mac1.ulb.ac.be Language: English - Date: 1998-08-22 15:52:49 Philosophy of mind Axel Cleeremans Computational neuroscience Cognitive architecture Connectionism Cognitive science Implicit learning ACT-R Concept learning Learning Cognition Science
143	A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom Add to Reading List Source URL: aclweb.org Language: English - Date: 2014-06-12 11:25:17 Cybernetics Artificial intelligence Convolution Connectionism Yann LeCun Recurrent neural network Artificial neuron N-gram Neural networks Science Computational neuroscience
144	Toward a General Solution to the Symbol Grounding Problem: Combining Learning and Computer Vision Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 02:45:05 Semantics Learning Machine learning Philosophy of language Computational neuroscience Concept learning Symbol grounding Connectionism Supervised learning Cognition Science Knowledge
145	ELLIOTT WAVES RECOGNITION VIA NEURAL NETWORKS Martin Kotyrba Eva Volna David Brazina Robert Jarusek Department of Informatics and Computers Add to Reading List Source URL: www.scs-europe.net Language: English - Date: 2012-05-18 12:47:38 Science Neuroscience Elliott Wave Principle Artificial neural network Backpropagation Feedforward neural network Recurrent neural network Artificial neuron Connectionism Neural networks Computational neuroscience Cybernetics
146	The other hard problem: How to bridge the gap between subsymbolic and symbolic cognition Axel Cleeremans Cognitive Science Research Unit Add to Reading List Source URL: srsc.ulb.ac.be Language: English - Date: 1998-08-22 15:52:49 Philosophy of mind Axel Cleeremans Computational neuroscience Cognitive architecture Connectionism Cognitive science Implicit learning ACT-R Concept learning Learning Cognition Science
147	The other hard problem: How to bridge the gap between subsymbolic and symbolic cognition Axel Cleeremans Cognitive Science Research Unit Add to Reading List Source URL: srsc.ulb.ac.be Language: English - Date: 1998-08-22 15:52:49 Philosophy of mind Axel Cleeremans Computational neuroscience Cognitive architecture Connectionism Cognitive science Implicit learning ACT-R Concept learning Learning Cognition Science
148	Generative Connectionist Models of Cognitive Development: Why They Work Thomas R. Shultz David Buckingham Add to Reading List Source URL: www.psych.mcgill.ca Language: English - Date: 2003-04-10 10:22:20 Computational neuroscience Cybernetics Connectionism Backpropagation Cognitive science Velocity Perceptron T–V distinction Language acquisition Neural networks Linguistics Science
149	BEHAVIORAL AND BRAIN SCIENCES[removed], 577–660 Printed in the United States of America Perceptual symbol systems Lawrence W. Barsalou Department of Psychology, Emory University, Atlanta, GA 30322 Add to Reading List Source URL: www.sbri.fr Language: English - Date: 2009-03-27 09:25:13 Perception Mental processes Neuropsychological assessment Lawrence W. Barsalou Mental image ACT-R Philosophy of perception Consciousness Connectionism Mind Cognitive science Philosophy of mind
150	Extracting Propositional Rules from Feed-forward Neural Networks — A New Decompositional Approach Sebastian Bader and Steffen H¨olldobler and Valentin Mayer-Eichberger International Center for Computational Logic Tech Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2006-11-03 20:49:32 Neuroscience Perceptron Feedforward neural network Artificial neural network Artificial neuron Backpropagation Connectionism Pattern recognition Activation function Neural networks Cybernetics Science

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