Discrete-time versus continuous-time models of neural networks

Neural networks and physical systems with emergent collective computational abilities.

J. J. Hopfield · Proceedings of the National Academy of Sciences · 1982 · 19K citations

Neural Networks (Machine Learning), Social Sciences, Memory +16

Neurons with graded response have collective computational properties like those of two-state neurons.

J. J. Hopfield · Proceedings of the National Academy of Sciences · 1984 · 6.9K citations · Full text

Two-state Neurons, Cognitive Science, Neural Mechanism +14

Absolute stability of global pattern formation and parallel memory storage by competitive neural networks

Michael A. Cohen, Stephen Grossberg · IEEE Transactions on Systems Man and Cybernetics · 1983 · 2.5K citations

Dynamic Equilibrium, Engineering, Lyapunov Function Approach +19

<i>An Introduction to Chaotic Dynamical Systems</i>

Robert L. Devaney, Jean‐Pierre Eckmann · Physics Today · 1987 · 2.4K citations

Deterministic Dynamical System, Geometry, Chaos Theory +9

Nonlinear neural networks: Principles, mechanisms, and architectures

Stephen Grossberg · Neural Networks · 1988 · 1.6K citations

Computational Neuroscience, Neuronal Network, Nonlinear Signal Processing +3