Literatura académica sobre el tema "NEURONS NEURAL NETWORK"
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Artículos de revistas sobre el tema "NEURONS NEURAL NETWORK"
Ribar, Srdjan, Vojislav V. Mitic y Goran Lazovic. "Neural Networks Application on Human Skin Biophysical Impedance Characterizations". Biophysical Reviews and Letters 16, n.º 01 (6 de febrero de 2021): 9–19. http://dx.doi.org/10.1142/s1793048021500028.
Texto completoDalhoum, Abdel Latif Abu y Mohammed Al-Rawi. "High-Order Neural Networks are Equivalent to Ordinary Neural Networks". Modern Applied Science 13, n.º 2 (27 de enero de 2019): 228. http://dx.doi.org/10.5539/mas.v13n2p228.
Texto completoGeva, Shlomo y Joaquin Sitte. "An Exponential Response Neural Net". Neural Computation 3, n.º 4 (diciembre de 1991): 623–32. http://dx.doi.org/10.1162/neco.1991.3.4.623.
Texto completoSharma, Subhash Kumar. "An Overview on Neural Network and Its Application". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 1242–48. http://dx.doi.org/10.22214/ijraset.2021.37597.
Texto completoYAMAZAKI, TADASHI y SHIGERU TANAKA. "A NEURAL NETWORK MODEL FOR TRACE CONDITIONING". International Journal of Neural Systems 15, n.º 01n02 (febrero de 2005): 23–30. http://dx.doi.org/10.1142/s0129065705000037.
Texto completoKim, Choongmin, Jacob A. Abraham, Woochul Kang y Jaeyong Chung. "A Neural Network Decomposition Algorithm for Mapping on Crossbar-Based Computing Systems". Electronics 9, n.º 9 (18 de septiembre de 2020): 1526. http://dx.doi.org/10.3390/electronics9091526.
Texto completoAtanassov, Krassimir, Sotir Sotirov y Tania Pencheva. "Intuitionistic Fuzzy Deep Neural Network". Mathematics 11, n.º 3 (31 de enero de 2023): 716. http://dx.doi.org/10.3390/math11030716.
Texto completoBensimon, Moshe, Shlomo Greenberg y Moshe Haiut. "Using a Low-Power Spiking Continuous Time Neuron (SCTN) for Sound Signal Processing". Sensors 21, n.º 4 (4 de febrero de 2021): 1065. http://dx.doi.org/10.3390/s21041065.
Texto completoWeaver, Adam L. y Scott L. Hooper. "Follower Neurons in Lobster (Panulirus interruptus) Pyloric Network Regulate Pacemaker Period in Complementary Ways". Journal of Neurophysiology 89, n.º 3 (1 de marzo de 2003): 1327–38. http://dx.doi.org/10.1152/jn.00704.2002.
Texto completoSajedinia, Zahra y Sébastien Hélie. "A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks". Computational Intelligence and Neuroscience 2018 (5 de julio de 2018): 1–10. http://dx.doi.org/10.1155/2018/3689487.
Texto completoTesis sobre el tema "NEURONS NEURAL NETWORK"
Voysey, Matthew David. "Inexact analogue CMOS neurons for VLSI neural network design". Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264387.
Texto completoLukashev, A. "Basics of artificial neural networks (ANNs)". Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/11353.
Texto completoSchmidt, Peter H. (Peter Harrison). "The transfer characteristic of neurons in a pulse-code neural network". Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14594.
Texto completoBrady, Patrick. "Internal representation and biological plausibility in an artificial neural network". Thesis, Brunel University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311273.
Texto completoHunter, Russell I. "Improving associative memory in a network of spiking neurons". Thesis, University of Stirling, 2011. http://hdl.handle.net/1893/6177.
Texto completoD'Alton, S. "A Constructive Neural Network Incorporating Competitive Learning of Locally Tuned Hidden Neurons". Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/243/1/D%27Alton05CompetitivelyTrainedRAN.pdf.
Texto completoGrehl, Stephanie. "Stimulation-specific effects of low intensity repetitive magnetic stimulation on cortical neurons and neural circuit repair in vitro (studying the impact of pulsed magnetic fields on neural tissue)". Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066706/document.
Texto completoElectromagnetic fields are widely used to non-invasively stimulate the human brain in clinical treatment and research. This thesis investigates the effects of different low intensity (mT) repetitive magnetic stimulation (LI-rMS) parameters on single neurons and neural networks and describes key aspects of custom tailored LI-rMS delivery in vitro. Our results show stimulation specific effects of LI-rMS on cell survival, neuronal morphology, neural circuit repair and gene expression. We show novel mechanisms underlying cellular responses to stimulation below neuronal firing threshold, extending our understanding of the fundamental effects of LI-rMS on biological tissue which is essential to better tailor therapeutic applications
Gettner, Jonathan A. "Identifying and Predicting Rat Behavior Using Neural Networks". DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1513.
Texto completoVissani, Matteo. "Multisensory features of peripersonal space representation: an analysis via neural network modelling". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Buscar texto completoYao, Yong. "A neural network in the pond snail, Planorbis corneus : electrophysiology and morphology of pleural ganglion neurons and their input neurons /". [S.l.] : [s.n.], 1986. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.
Texto completoLibros sobre el tema "NEURONS NEURAL NETWORK"
Gerstner, Wulfram. Spiking neuron models: Single neurons, populations, plasticity. Cambridge, U.K: Cambridge University Press, 2002.
Buscar texto completoEeckman, Frank H. Computation in neurons and neural systems. New York: Springer, 1994.
Buscar texto completoH, Eeckman Frank y Conference on Computation and Neural Systems (1993 : Washington, D.C.), eds. Computation in neurons and neural systems. Boston: Kluwer Academic Publishers, 1994.
Buscar texto completoFellin, Tommaso y Michael Halassa, eds. Neuronal Network Analysis. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-633-3.
Texto completo1931-, Taylor John Gerald y Mannion C. L. T, eds. Coupled oscillating neurons. London: Springer-Verlag, 1992.
Buscar texto completoLek, Sovan y Jean-François Guégan, eds. Artificial Neuronal Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57030-8.
Texto completoLek, Sovan. Artificial Neuronal Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.
Buscar texto completoAizenberg, Igor. Complex-Valued Neural Networks with Multi-Valued Neurons. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20353-4.
Texto completoservice), SpringerLink (Online, ed. Complex-Valued Neural Networks with Multi-Valued Neurons. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Buscar texto completoG, Stein Paul S., ed. Neurons, networks, and motor behavior. Cambridge, Mass: MIT Press, 1997.
Buscar texto completoCapítulos de libros sobre el tema "NEURONS NEURAL NETWORK"
De Wilde, Philippe. "Neurons in the Brain". En Neural Network Models, 53–70. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-84628-614-8_3.
Texto completoMarinaro, Maria. "Deterministic Networks with Ternary Neurons". En Neural Network Dynamics, 57–74. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8_5.
Texto completoTaylor, J. G. "Temporal Patterns and Leaky Integrator Neurons". En International Neural Network Conference, 952–55. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0643-3_144.
Texto completoPawelzik, K., F. Wolf, J. Deppisch y T. Geisel. "Network Dynamics and Correlated Spikes". En Computation in Neurons and Neural Systems, 103–7. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_17.
Texto completoBleich, M. E. y R. V. Jensen. "Fatigue in a Dynamic Neural Network". En Computation in Neurons and Neural Systems, 229–34. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_37.
Texto completoKatayama, Katsuki, Masafumi Yano y Tsuyoshi Horiguchi. "Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons". En Neural Information Processing, 19–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30499-9_3.
Texto completoRitz, Raphael, Wulfram Gerstner y J. Leo van Hemmen. "Associative Binding and Segregation in a Network of Spiking Neurons". En Models of Neural Networks, 175–219. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4320-5_5.
Texto completoAdachi, Masaharu. "Surrogating Neurons in an Associative Chaotic Neural Network". En Advances in Neural Networks – ISNN 2004, 217–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28647-9_37.
Texto completoRomero, G., P. A. Castillo, J. J. Merelo y A. Prieto. "Using SOM for Neural Network Visualization". En Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, 629–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45720-8_75.
Texto completoPayne, Jeremy R., Zhian Xu y Mark E. Nelson. "A Network Model of Automatic Gain Control in the Electrosensory System". En Computation in Neurons and Neural Systems, 203–8. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_33.
Texto completoActas de conferencias sobre el tema "NEURONS NEURAL NETWORK"
Bian, Shaoping, Kebin Xu y Jing Hong. "Near neighbor neurons interconnected neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tht27.
Texto completoFILO, G. "Analysis of Neural Network Structure for Implementation of the Prescriptive Maintenance Strategy". En Terotechnology XII. Materials Research Forum LLC, 2022. http://dx.doi.org/10.21741/9781644902059-40.
Texto completoZheng, Shengjie, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqi Qin y Xiaojian Li. "An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence". En 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121010.
Texto completoSharpe, J. P., K. M. Johnson y M. G. Robinson. "Large scale simulations of an optoelectronic neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.mbb4.
Texto completoHuynh, Alex V., John F. Walkup y Thomas F. Krile. "Optical perceptron-based quadratic neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mii8.
Texto completoFarhat, Nabil H. y Mostafa Eldefrawy. "The bifurcating neuron". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mk3.
Texto completoZhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning". En 8th International Conference on Artificial Intelligence and Applications (AI 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121809.
Texto completoLin, Steven, Demetri Psaltis y Jae Kim. "High-gain GaAs optoelectronic thresholding devices for neural network implementation". En Integrated Photonics Research. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/ipr.1991.tuc1.
Texto completoWright, John A., Svetlana Tatic-Lucic, Yu-Chong Tai, Michael P. Maher, Hannah Dvorak y Jerome Pine. "Towards a Functional MEMS Neurowell by Physiological Experimentation". En ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-1370.
Texto completoPetrisor, G. C., B. K. Jenkins, H. Chin y A. R. Tanguay. "Dual-function adaptive neural networks for photonic implementation". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mvv1.
Texto completoInformes sobre el tema "NEURONS NEURAL NETWORK"
Markova, Oksana, Serhiy Semerikov y Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, mayo de 2018. http://dx.doi.org/10.31812/0564/2250.
Texto completoTarasenko, Andrii O., Yuriy V. Yakimov y Vladimir N. Soloviev. Convolutional neural networks for image classification. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3682.
Texto completoCárdenas-Cárdenas, Julián Alonso, Deicy J. Cristiano-Botia y Nicolás Martínez-Cortés. Colombian inflation forecast using Long Short-Term Memory approach. Banco de la República, junio de 2023. http://dx.doi.org/10.32468/be.1241.
Texto completoWilliams, J. G. y W. C. Jouse. Drive reinforcement neurals networks for reactor control. Final report. Office of Scientific and Technical Information (OSTI), junio de 1995. http://dx.doi.org/10.2172/114638.
Texto completoTam, David C. A Study of Neuronal Properties, Synaptic Plasticity and Network Interactions Using a Computer Reconstituted Neuronal Network Derived from Fundamental Biophysical Principles. Fort Belvoir, VA: Defense Technical Information Center, junio de 1992. http://dx.doi.org/10.21236/ada257221.
Texto completoTam, David C. A Study of Neuronal Properties, Synaptic Plasticity and Network Interactions Using a Computer Reconstituted Neuronal Network Derived from Fundamental Biophysical Principles. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1990. http://dx.doi.org/10.21236/ada230477.
Texto completoKater, S. B. y Barbara C. Hayes. Circuit Behavior in the Development of Neuronal Networks. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1988. http://dx.doi.org/10.21236/ada198040.
Texto completoBrown, Thomas H. Long-Term Synaptic Plasticity and Learning in Neuronal Networks. Fort Belvoir, VA: Defense Technical Information Center, julio de 1986. http://dx.doi.org/10.21236/ada173170.
Texto completoBerger, Theodore W. A Systems Theoretic Investigation of Neuronal Network Properties of the Hippocampal Formation. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1991. http://dx.doi.org/10.21236/ada250246.
Texto completoRulkov, Nikolai. Nonlinear Maps for Design of Discrete Time Models of Neuronal Network Dynamics. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2016. http://dx.doi.org/10.21236/ad1004577.
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