Rede Neural (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Rede Neural" in Portuguese language version.

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16doi.org

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9nih.gov

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3archive.org

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3psu.edu

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3web.archive.org

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2harvard.edu

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1gartner.com

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1hartford.edu

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1researchgate.net

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1medicalxpress.com

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1worldcat.org

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1nasa.gov

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1umontreal.ca

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1kurzweilai.net

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1toronto.edu

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1usi.ch

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1nips.cc

low place

archive.org

James (1890). The Principles of Psychology. New York: H. Holt and Company
Hebb, Donald (1949). The Organization of Behavior. New York: Wiley
Rumelhart, D.E.; James McClelland (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge: MIT Press

creativecommons.org

Rezaei, Hedyeh; Aertsen, Ad; Kumar, Arvind; Valizadeh, Alireza (10 de agosto de 2020). «Facilitating the propagation of spiking activity in feedforward networks by including feedback». PLOS Computational Biology (em inglês). 16 (8): e1008033. ISSN 1553-7358. PMC 7444537. PMID 32776924. doi:10.1371/journal.pcbi.1008033 Text and images are available under a Creative Commons Attribution 4.0 International License.

doi.org

dx.doi.org

Hopfield, J. J. (1982). «Neural networks and physical systems with emergent collective computational abilities». Proc. Natl. Acad. Sci. U.S.A. 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. PMC 346238. PMID 6953413. doi:10.1073/pnas.79.8.2554
Cuntz, Hermann (2010). «PLoS Computational Biology Issue Image | Vol. 6(8) August 2010». PLOS Computational Biology. 6 (8): ev06.i08. doi:10.1371/image.pcbi.v06.i08
Sherrington, C.S. (1898). «Experiments in Examination of the Peripheral Distribution of the Fibers of the Posterior Roots of Some Spinal Nerves». Proceedings of the Royal Society of London. 190: 45–186. doi:10.1098/rstb.1898.0002
McCulloch, Warren; Walter Pitts (1943). «A Logical Calculus of Ideas Immanent in Nervous Activity». Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259
Farley, B.; W.A. Clark (1954). «Simulation of Self-Organizing Systems by Digital Computer». IRE Transactions on Information Theory. 4 (4): 76–84. doi:10.1109/TIT.1954.1057468
Rochester, N.; J.H. Holland, L.H. Habit and W.L. Duda (1956). «Tests on a cell assembly theory of the action of the brain, using a large digital computer». IRE Transactions on Information Theory. 2 (3): 80–93. doi:10.1109/TIT.1956.1056810
Rosenblatt, F. (1958). «The Perceptron: A Probalistic Model For Information Storage And Organization In The Brain». Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. PMID 13602029. doi:10.1037/h0042519
McCulloch, Warren; Pitts, Walter (1943). «A Logical Calculus of Ideas Immanent in Nervous Activity». Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259
Wieczorek, Szymon; Filipiak, Dominik; Filipowska, Agata (2018). «Semantic Image-Based Profiling of Users' Interests with Neural Networks». Studies on the Semantic Web. 36 (Emerging Topics in Semantic Technologies). doi:10.3233/978-1-61499-894-5-179
Rezaei, Hedyeh; Aertsen, Ad; Kumar, Arvind; Valizadeh, Alireza (10 de agosto de 2020). «Facilitating the propagation of spiking activity in feedforward networks by including feedback». PLOS Computational Biology (em inglês). 16 (8): e1008033. ISSN 1553-7358. PMC 7444537. PMID 32776924. doi:10.1371/journal.pcbi.1008033 Text and images are available under a Creative Commons Attribution 4.0 International License.
Yang, J. J.; et al. (2008). «Memristive switching mechanism for metal/oxide/metal nanodevices». Nat. Nanotechnol. 3 (7): 429–433. PMID 18654568. doi:10.1038/nnano.2008.160
Strukov, D. B.; et al. (2008). «The missing memristor found». Nature. 453 (7191): 80–83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (2009). «A Novel Connectionist System for Improved Unconstrained Handwriting Recognition». IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. CiteSeerX 10.1.1.139.4502. PMID 19299860. doi:10.1109/TPAMI.2008.137
Hinton, G. E.; Osindero, S.; Teh, Y. (2006). «A fast learning algorithm for deep belief nets» (PDF). Neural Computation. 18 (7): 1527–1554. CiteSeerX 10.1.1.76.1541. PMID 16764513. doi:10.1162/neco.2006.18.7.1527
Fukushima, K. (1980). «Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position». Biological Cybernetics. 36 (4): 93–202. PMID 7370364. doi:10.1007/BF00344251
Riesenhuber, M.; Poggio, T. (1999). «Hierarchical models of object recognition in cortex». Nature Neuroscience. 2 (11): 1019–1025. PMID 10526343. doi:10.1038/14819

fortunecity.com

members.fortunecity.com

«Roger Bridgman's defence of neural networks». Consultado em 1 de agosto de 2006. Arquivado do original em 19 de março de 2012

gartner.com

«Neural Net or Neural Network - Gartner IT Glossary». www.gartner.com

hartford.edu

uhaweb.hartford.edu

Russell, Ingrid. «Neural Networks Module». Cópia arquivada em 29 de maio de 2014

harvard.edu

ui.adsabs.harvard.edu

Hopfield, J. J. (1982). «Neural networks and physical systems with emergent collective computational abilities». Proc. Natl. Acad. Sci. U.S.A. 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. PMC 346238. PMID 6953413. doi:10.1073/pnas.79.8.2554
Strukov, D. B.; et al. (2008). «The missing memristor found». Nature. 453 (7191): 80–83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932

kurzweilai.net

«2012 Kurzweil AI Interview with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012». Consultado em 10 de dezembro de 2012. Arquivado do original em 31 de agosto de 2018

medicalxpress.com

«Neuroscientists demonstrate how to improve communication between different regions of the brain». medicalxpress.com (em inglês). Consultado em 6 de setembro de 2020

nasa.gov

Administrator, NASA (5 de junho de 2013). «Dryden Flight Research Center - News Room: News Releases: NASA NEURAL NETWORK PROJECT PASSES MILESTONE». NASA

nih.gov

ncbi.nlm.nih.gov

Hopfield, J. J. (1982). «Neural networks and physical systems with emergent collective computational abilities». Proc. Natl. Acad. Sci. U.S.A. 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. PMC 346238. PMID 6953413. doi:10.1073/pnas.79.8.2554
Rosenblatt, F. (1958). «The Perceptron: A Probalistic Model For Information Storage And Organization In The Brain». Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. PMID 13602029. doi:10.1037/h0042519
Rezaei, Hedyeh; Aertsen, Ad; Kumar, Arvind; Valizadeh, Alireza (10 de agosto de 2020). «Facilitating the propagation of spiking activity in feedforward networks by including feedback». PLOS Computational Biology (em inglês). 16 (8): e1008033. ISSN 1553-7358. PMC 7444537. PMID 32776924. doi:10.1371/journal.pcbi.1008033 Text and images are available under a Creative Commons Attribution 4.0 International License.
Yang, J. J.; et al. (2008). «Memristive switching mechanism for metal/oxide/metal nanodevices». Nat. Nanotechnol. 3 (7): 429–433. PMID 18654568. doi:10.1038/nnano.2008.160
Strukov, D. B.; et al. (2008). «The missing memristor found». Nature. 453 (7191): 80–83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (2009). «A Novel Connectionist System for Improved Unconstrained Handwriting Recognition». IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. CiteSeerX 10.1.1.139.4502. PMID 19299860. doi:10.1109/TPAMI.2008.137
Hinton, G. E.; Osindero, S.; Teh, Y. (2006). «A fast learning algorithm for deep belief nets» (PDF). Neural Computation. 18 (7): 1527–1554. CiteSeerX 10.1.1.76.1541. PMID 16764513. doi:10.1162/neco.2006.18.7.1527
Fukushima, K. (1980). «Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position». Biological Cybernetics. 36 (4): 93–202. PMID 7370364. doi:10.1007/BF00344251
Riesenhuber, M.; Poggio, T. (1999). «Hierarchical models of object recognition in cortex». Nature Neuroscience. 2 (11): 1019–1025. PMID 10526343. doi:10.1038/14819

nips.cc

papers.nips.cc

D. Ciresan, A. Giusti, L. Gambardella, J. Schmidhuber. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images. In Advances in Neural Information Processing Systems (NIPS 2012), Lake Tahoe, 2012.

psu.edu

citeseerx.ist.psu.edu

Rosenblatt, F. (1958). «The Perceptron: A Probalistic Model For Information Storage And Organization In The Brain». Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. PMID 13602029. doi:10.1037/h0042519
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (2009). «A Novel Connectionist System for Improved Unconstrained Handwriting Recognition». IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. CiteSeerX 10.1.1.139.4502. PMID 19299860. doi:10.1109/TPAMI.2008.137
Hinton, G. E.; Osindero, S.; Teh, Y. (2006). «A fast learning algorithm for deep belief nets» (PDF). Neural Computation. 18 (7): 1527–1554. CiteSeerX 10.1.1.76.1541. PMID 16764513. doi:10.1162/neco.2006.18.7.1527

researchgate.net

Wieczorek, Szymon; Filipiak, Dominik; Filipowska, Agata (2018). «Semantic Image-Based Profiling of Users' Interests with Neural Networks». Studies on the Semantic Web. 36 (Emerging Topics in Semantic Technologies). doi:10.3233/978-1-61499-894-5-179

toronto.edu

cs.toronto.edu

Hinton, G. E.; Osindero, S.; Teh, Y. (2006). «A fast learning algorithm for deep belief nets» (PDF). Neural Computation. 18 (7): 1527–1554. CiteSeerX 10.1.1.76.1541. PMID 16764513. doi:10.1162/neco.2006.18.7.1527

umontreal.ca

iro.umontreal.ca

«Scaling Learning Algorithms towards {AI} - LISA - Publications - Aigaion 2.0». www.iro.umontreal.ca

usi.ch

people.lu.usi.ch

D. C. Ciresan, U. Meier, J. Masci, J. Schmidhuber. Multi-Column Deep Neural Network for Traffic Sign Classification. Neural Networks, 2012.

web.archive.org

Russell, Ingrid. «Neural Networks Module». Cópia arquivada em 29 de maio de 2014
«Roger Bridgman's defence of neural networks». Consultado em 1 de agosto de 2006. Arquivado do original em 19 de março de 2012
«2012 Kurzweil AI Interview with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012». Consultado em 10 de dezembro de 2012. Arquivado do original em 31 de agosto de 2018

worldcat.org

Rezaei, Hedyeh; Aertsen, Ad; Kumar, Arvind; Valizadeh, Alireza (10 de agosto de 2020). «Facilitating the propagation of spiking activity in feedforward networks by including feedback». PLOS Computational Biology (em inglês). 16 (8): e1008033. ISSN 1553-7358. PMC 7444537. PMID 32776924. doi:10.1371/journal.pcbi.1008033 Text and images are available under a Creative Commons Attribution 4.0 International License.