Artificial neuron

Results: 424



#Item
31Computational neuroscience / Nervous system / Neuroscience / Neurophysiology / Neural networks / NEST / Biological neuron model / Neuron / Action potential / Axon / Excitatory synapse / Artificial neuron

NEST by Example: An Introduction to the Neural Simulation Tool NEST VersionMarc-Oliver Gewaltig1 , Abigail Morrison2 , and Hans Ekkehard Plesser3, 2 1 Blue Brain Project, Ecole Polytechnique Federale de Lausanne,

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Source URL: www.nest-simulator.org

Language: English - Date: 2016-01-04 09:55:18
32Neuroscience / Computational neuroscience / Neural networks / Neural coding / Cognition / Neural oscillation / Neural correlates of consciousness / Artificial neural network / Neural ensemble / Biological neural network / Nervous system / H1 neuron

Variability in neural activity and behavior

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Source URL: www.machenslab.org

Language: English - Date: 2014-06-04 11:23:26
33Artificial neural networks / Sigmoid function / Artificial neuron / Parameter / Function / Gradient descent / Backpropagation / Multilayer perceptron / Activation function / Theano / Default argument / Artificial intelligence

Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto different architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ

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Source URL: colinraffel.com

Language: English - Date: 2015-12-30 23:12:51
34Artificial neural networks / Applied mathematics / Cybernetics / Cognitive science / Recurrent neural network / Artificial neuron / Genetic algorithm

Compressed Network Complexity Search Faustino Gomez, Jan Koutn´ık, and J¨ urgen Schmidhuber IDSIA USI-SUPSI Manno-Lugano, CH

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Source URL: people.idsia.ch

Language: English - Date: 2012-10-05 09:19:49
35Computational neuroscience / Neuroscience / Nervous system / Electrical engineering / Neuromorphic engineering / Scientific modeling / Biology / Computational statistics / Neurogrid / Kwabena Boahen / Artificial neural network / Neuron

Microsoft Word - Rockwood Memorial Lecture 2015_V2.docx

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Source URL: inc.ucsd.edu

Language: English - Date: 2015-04-13 20:17:23
36Artificial neural networks / Statistics / Applied mathematics / Machine learning / Homogeneous charge compression ignition / Multilayer perceptron / Radial basis function network / Principal component analysis / Recurrent neural network / Artificial neuron / Perceptron / Internal combustion engine

Applied Soft Computing–2389 Contents lists available at SciVerse ScienceDirect Applied Soft Computing journal homepage: www.elsevier.com/locate/asoc

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Source URL: dept.stat.lsa.umich.edu

Language: English - Date: 2013-03-27 11:45:17
37Electrical engineering / Signal processing / Engineering / Digital signal processing / Multidimensional signal processing / Artificial neural networks / Noise / Adaptive filter / Antenna / ADALINE / Array processing / Artificial neuron

PROCEEDINGS OF THE IEEE, VOL. 55, NO. 12, DECEMBERAdaptive Antenna Systems IEEE, P. E. MANTEY, MEMBER,

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Source URL: www-isl.stanford.edu

Language: English - Date: 2006-03-27 15:16:13
38Artificial neural networks / Machine learning / Applied mathematics / Cybernetics / ADALINE / Artificial neuron / Perceptron / Madaline / Backpropagation / Feedforward neural network / Activation function / Bernard Widrow

30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation BERNARD WIDROW, FELLOW, IEEE,

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Source URL: www-isl.stanford.edu

Language: English - Date: 2008-03-07 20:14:11
39Artificial neural networks / Artificial neuron / ADALINE / Backpropagation / Adaptive filter / Types of artificial neural networks / Perceptron

1109 IEEE TRANSACTIONS ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL 36, NO 7, JULY 1988 Layered Neural Nets for Pattern Recognition BERNARD WIDROW, FELLOW,IEEE, RODNEY G. WINTER,

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Source URL: www-isl.stanford.edu

Language: English - Date: 2008-02-08 00:24:44
40Artificial neural networks / Applied mathematics / Cybernetics / Statistics / Backpropagation / Artificial neuron / Perceptron / Sigmoid function / Activation function / Deep learning

Improving the Learning Speed of 2-Layer Neural Networks by Choosing Initial Values of the Adaptive Weights Derrick Nguyen and Bernard Widrow Information Systems Laboratory Stanford University Stanford, CA 94305

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Source URL: www-isl.stanford.edu

Language: English - Date: 2008-03-07 21:10:07
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