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Neural engineering
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#	Item
481	Models and Methods for Studying Neural Development AL 1.1 What is neural development? Add to Reading List Source URL: media.wiley.com Language: English - Date: 2011-06-28 10:13:46 Model organisms Developmental biology Drosophilidae GAL4/UAS system Drosophila melanogaster RNA interference Christiane Nüsslein-Volhard Genetic engineering Reverse genetics Biology Molecular genetics Genetics
482	GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** Lucent Technologies Oklahoma City, OK School of Electrical and Computer Engineering Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English* - Date: 2008-01-23 11:12:53 Least squares Computational neuroscience Neural networks Supervised learning Regularization Levenberg–Marquardt algorithm Overfitting Isotope lists 73-96 Perceptron Statistics Machine learning Regression analysis
483	Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Oklahoma State University [removed] Howard B. Demuth Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2009-12-17 20:18:53 Neuroscience Perceptron Backpropagation Multilayer perceptron Activation function Biological neuron model Universal approximation theorem Control theory Artificial neuron Neural networks Cybernetics Science
484	Microsoft Word - Template Add to Reading List Source URL: etienne.ece.jhu.edu Language: English - Date: 2012-04-26 13:21:04 Science Neuromorphic engineering Brain Biological neural network Artificial neuron Cellular neural network Artificial neural network Neural networks Cybernetics Anatomy
485	Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Oklahoma State University [removed] Howard B. Demuth Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2009-12-17 20:18:53 Neuroscience Perceptron Backpropagation Multilayer perceptron Activation function Biological neuron model Universal approximation theorem Control theory Artificial neuron Neural networks Cybernetics Science
486	Chapter 12 TRAINING RECURRENT NETWORKS FOR FILTERING AND CONTROL Martin T. Hagan, Orlando De Jesús, Roger Schultz School of Electrical and Computer Engineering Oklahoma State University, Stillwater, Oklahoma Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:52 Science Backpropagation Neuroscience Backpropagation through time Artificial neural network Neural networks Computational neuroscience Cybernetics
487	Chapter 12 TRAINING RECURRENT NETWORKS FOR FILTERING AND CONTROL Martin T. Hagan, Orlando De Jesús, Roger Schultz School of Electrical and Computer Engineering Oklahoma State University, Stillwater, Oklahoma Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:52 Science Backpropagation Neuroscience Backpropagation through time Artificial neural network Neural networks Computational neuroscience Cybernetics
488	SEVENTEENTH INTERNATIONAL CONFERENCE ON COGNITIVE AND NEURAL SYSTEMS (ICCNS) June 4 – 7, 2013 Boston University 677 Beacon Street Boston, Massachusetts[removed]USA Add to Reading List Source URL: cns-web.bu.edu Language: English - Date: 2013-02-04 17:58:05 Neural networks Computational neuroscience Interdisciplinary fields Neuroscience Cognition Stephen Grossberg Neuromorphic engineering Biological neural network ACT-R Science Cognitive science Ethology
489	AN INTRODUCTION TO THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS MARTIN T. HAGAN1, HOWARD B. DEMUTH2 AND ORLANDO DE JESÚS1 1 School of Electrical & Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:54 Neuroscience Perceptron Multilayer perceptron Backpropagation Universal approximation theorem Biological neuron model Artificial neuron Feedforward neural network Neural networks Cybernetics Science
490	AN INTRODUCTION TO THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS MARTIN T. HAGAN1, HOWARD B. DEMUTH2 AND ORLANDO DE JESÚS1 1 School of Electrical & Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:54 Neuroscience Perceptron Multilayer perceptron Backpropagation Universal approximation theorem Biological neuron model Artificial neuron Feedforward neural network Neural networks Cybernetics Science

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