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ORCIDJohn J. Hopfield
Person information
- award (2024): Nobel Prize in Physics
- affiliation: Princeton University, NJ, USA
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2020 – today
- 2021
[c8]Dmitry Krotov, John J. Hopfield:
Large Associative Memory Problem in Neurobiology and Machine Learning. ICLR 2021- 2020
- [c7]Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov:
Bio-Inspired Hashing for Unsupervised Similarity Search. ICML 2020: 8295-8306 - [i6]Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov:
Bio-Inspired Hashing for Unsupervised Similarity Search. CoRR abs/2001.04907 (2020) - [i5]Dmitry Krotov, John J. Hopfield:
Large Associative Memory Problem in Neurobiology and Machine Learning. CoRR abs/2008.06996 (2020)
2010 – 2019
- 2019
- [j10]Dmitry Krotov, John J. Hopfield:
Unsupervised learning by competing hidden units. Proc. Natl. Acad. Sci. USA 116(16): 7723-7731 (2019) - [i4]Leopold Grinberg, John J. Hopfield, Dmitry Krotov:
Local Unsupervised Learning for Image Analysis. CoRR abs/1908.08993 (2019) - 2018
- [j9]Dmitry Krotov, John J. Hopfield:
Dense Associative Memory Is Robust to Adversarial Inputs. Neural Comput. 30(12) (2018) - [i3]Dmitry Krotov, John J. Hopfield:
Unsupervised Learning by Competing Hidden Units. CoRR abs/1806.10181 (2018) - 2017
- [i2]Dmitry Krotov, John J. Hopfield:
Dense Associative Memory is Robust to Adversarial Inputs. CoRR abs/1701.00939 (2017) - 2016
- [c6]Dmitry Krotov, John J. Hopfield:
Dense Associative Memory for Pattern Recognition. NIPS 2016: 1172-1180 - [i1]Dmitry Krotov, John J. Hopfield:
Dense Associative Memory for Pattern Recognition. CoRR abs/1606.01164 (2016) - 2015
- [j8]John J. Hopfield:
Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns. Neural Comput. 27(10): 2011-2038 (2015) - 2013
- [j7]Filip Ponulak, John J. Hopfield:
Rapid, parallel path planning by propagating wavefronts of spiking neural activity. Frontiers Comput. Neurosci. 7: 98 (2013)
2000 – 2009
- 2008
- [j6]John J. Hopfield:
Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation. Neural Comput. 20(5): 1119-1164 (2008) - 2007
- [j5]John J. Hopfield:
Hopfield network. Scholarpedia 2(5): 1977 (2007) - 2005
- [j4]Corneliu A. Marinov, John J. Hopfield:
Stable computational dynamics for a class of circuits with O(N) interconnections capable of KWTA and rank extractions. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 949-959 (2005) - 2004
- [c5]Jongmin Kim, John J. Hopfield, Erik Winfree:
Neural Network Computation by In Vitro Transcriptional Circuits. NIPS 2004: 681-688
1990 – 1999
- 1997
- [c4]John J. Hopfield, Carlos D. Brody, Sam T. Roweis:
Computing with Action Potentials. NIPS 1997: 166-172 - [c3]H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield:
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. NIPS 1997: 329-335 - 1992
- [j3]K. P. Unnikrishnan, John J. Hopfield, David W. Tank:
Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections. Neural Comput. 4(1): 108-119 (1992) - 1991
- [j2]K. P. Unnikrishnan, John J. Hopfield, David W. Tank:
Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections. IEEE Trans. Signal Process. 39(3): 698-713 (1991)
1980 – 1989
- 1989
- [c2]John J. Hopfield:
The Effectiveness of Neural Computing. IFIP Congress 1989: 503-507 - 1988
- [c1]Zhaoping Li, John J. Hopfield:
Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators. NIPS 1988: 402-409 - 1987
- [j1]John S. Denker, Daniel B. Schwartz, Ben S. Wittner, Sara A. Solla, Richard E. Howard, Lawrence D. Jackel, John J. Hopfield:
Large Automatic Learning, Rule Extraction, and Generalization. Complex Syst. 1(5) (1987)
Coauthor Index
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