John Hopfield

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David W. TankPrinceton UniversityVerified email at princeton.edu
David N. BeratanR.J. Reynolds Professor, Department of Chemistry, Duke UniversityVerified email at duke.edu
Carlos BrodyPrinceton UniversityVerified email at princeton.edu
Jose OnuchicCTBP Rice UniversityVerified email at rice.edu
Dmitry KrotovMIT-IBM Watson AI Lab & IBM ResearchVerified email at ibm.com
Andrew MurrayHarvard UniversityVerified email at mcb.harvard.edu
Andreas HerzLMUVerified email at bio.lmu.de
Li Zhaoping 李兆平"Li" or "Zhaoping" for earlier or later papers, respectively, pls cite by the correct published nameVerified email at tuebingen.mpg.de
K P UnnikrishnanChief Scientist, eNeuroLearnVerified email at umich.edu
Dawei DongUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
Erik WinfreeCalifornia Institute of TechnologyVerified email at caltech.edu
Filip PonulakFounder and President of PrediqscienceVerified email at prediqscience.com
Steven M. GirvinProfessor of Physics, Yale UniversityVerified email at yale.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu

John Hopfield

Professor, Princeton University

Verified email at princeton.edu - Homepage

Neural Networks AI Neuroscience Systems Biology Semiconductor Physics


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Neural networks and physical systems with emergent collective computational abilities. JJ Hopfield Proceedings of the national academy of sciences 79 (8), 2554-2558, 1982	27231	1982
Neurons with graded response have collective computational properties like those of two-state neurons. JJ Hopfield Proceedings of the national academy of sciences 81 (10), 3088-3092, 1984	9454	1984
“Neural” computation of decisions in optimization problems JJ Hopfield, DW Tank Biological cybernetics 52 (3), 141-152, 1985	8803	1985
From molecular to modular cell biology LH Hartwell, JJ Hopfield, S Leibler, AW Murray Nature 402 (Suppl 6761), C47-C52, 1999	4541	1999
Computing with neural circuits: A model JJ Hopfield, DW Tank Science 233 (4764), 625-633, 1986	2955	1986
Simple'neural'optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit D Tank, J Hopfield IEEE transactions on circuits and systems 33 (5), 533-541, 1986	2839	1986
Theory of the contribution of excitons to the complex dielectric constant of crystals JJ Hopfield Physical Review 112 (5), 1555, 1958	2751	1958
Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity JJ Hopfield Proceedings of the National Academy of Sciences 71 (10), 4135-4139, 1974	1846	1974
Pattern recognition computation using action potential timing for stimulus representation JJ Hopfield Nature 376 (6535), 33-36, 1995	1435	1995
Electron transfer between biological molecules by thermally activated tunneling JJ Hopfield Proceedings of the National Academy of Sciences 71 (9), 3640-3644, 1974	1398	1974
Kinetics of radiative recombination at randomly distributed donors and acceptors DG Thomas, JJ Hopfield, WM Augustyniak Physical Review 140 (1A), A202, 1965	1014	1965
Theoretical and experimental effects of spatial dispersion on the optical properties of crystals JJ Hopfield, DG Thomas Physical Review 132 (2), 563, 1963	979	1963
Isoelectronic traps due to nitrogen in gallium phosphide DG Thomas, JJ Hopfield Physical Review 150 (2), 680, 1966	738	1966
Artificial neural networks JJ Hopfield IEEE Circuits and Devices Magazine 4 (5), 3-10, 1988	711	1988
Fine structure in the optical absorption edge of anisotropic crystals JJ Hopfdeld Journal of Physics and Chemistry of Solids 15 (1-2), 97-107, 1960	679	1960
Optical properties of bound exciton complexes in cadmium sulfide DG Thomas, JJ Hopfield Physical Review 128 (5), 2135, 1962	630	1962
Fine structure and magneto-optic effects in the exciton spectrum of cadmium sulfide JJ Hopfield, DG Thomas Physical Review 122 (1), 35, 1961	602	1961
‘Unlearning’has a stabilizing effect in collective memories JJ Hopfield, DI Feinstein, RG Palmer Nature 304 (5922), 158-159, 1983	569	1983
Large automatic learning, rule extraction, and generalization J Denker, D Schwartz, B Wittner, S Solla, R Howard, L Jackel, J Hopfield Complex systems 1 (5), 877-922, 1987	554	1987
Neural computation by concentrating information in time. DW Tank, JJ Hopfield Proceedings of the National Academy of Sciences 84 (7), 1896-1900, 1987	496	1987

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