Large Automatic Learning, Rule Extraction, and Generalization. - John S. Denker; Daniel B. Schwartz; Ben S. Wittner; Sara A. Solla; Richard E. Howard; Lawrence D. Jackel; John J. Hopfield (Complex Syst., 1987)

Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators. - Zhaoping Li 001; John J. Hopfield (NIPS, 1988)

The Effectiveness of Neural Computing. - John J. Hopfield (IFIP Congress, 1989)

Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections. - K. P. Unnikrishnan; John J. Hopfield; David W. Tank (IEEE Trans. Signal Process., 1991)

Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections. - K. P. Unnikrishnan; John J. Hopfield; David W. Tank (Neural Comput., 1992)

Computing with Action Potentials. - John J. Hopfield; Carlos D. Brody; Sam T. Roweis (NIPS, 1997)

Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. - H. Sebastian Seung; Tom J. Richardson; J. C. Lagarias 001; John J. Hopfield (NIPS, 1997)

Neural Network Computation by In Vitro Transcriptional Circuits. - Jongmin Kim; John J. Hopfield; Erik Winfree (NIPS, 2004)

Stable computational dynamics for a class of circuits with O(N) interconnections capable of KWTA and rank extractions. - Corneliu A. Marinov; John J. Hopfield (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Hopfield network. - John J. Hopfield (Scholarpedia, 2007)

Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation. - John J. Hopfield (Neural Comput., 2008)

Rapid, parallel path planning by propagating wavefronts of spiking neural activity. - Filip Ponulak; John J. Hopfield (Frontiers Comput. Neurosci., 2013)

Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns. - John J. Hopfield (Neural Comput., 2015)

Dense Associative Memory for Pattern Recognition. - Dmitry Krotov; John J. Hopfield (NIPS, 2016)

Dense Associative Memory Is Robust to Adversarial Inputs. - Dmitry Krotov; John J. Hopfield (Neural Comput., 2018)

Local Unsupervised Learning for Image Analysis. - Leopold Grinberg; John J. Hopfield; Dmitry Krotov (CoRR, 2019)

Unsupervised learning by competing hidden units. - Dmitry Krotov; John J. Hopfield (Proc. Natl. Acad. Sci. USA, 2019)

Bio-Inspired Hashing for Unsupervised Similarity Search. - Chaitanya K. Ryali; John J. Hopfield; Leopold Grinberg; Dmitry Krotov (ICML, 2020)

Large Associative Memory Problem in Neurobiology and Machine Learning. - Dmitry Krotov; John J. Hopfield (ICLR, 2021)