Noise-Induced Synchronized Switching in Coupled Bistable Systems. - Adi R. Bulsara; M. E. Inchiosa; John F. Lindner; Brian K. Meadows; William L. Ditto (ANNES, 1995)

The Pendulum Automaton. - John F. Lindner; Kurt Wiesenfeld (Int. J. Bifurc. Chaos, 2001)

The flux creep Automaton. - John F. Lindner; Scott B. Hughes; David J. Miller 006; Bradley C. Thomas; Kurt Wiesenfeld (Int. J. Bifurc. Chaos, 2004)

Precession and Chaos in the Classical Two-Body Problem in a Spherical Universe. - John F. Lindner; Martha I. Roseberry; Daniel E. Shai; Nicholas J. Harmon; Katherine D. Olaksen (Int. J. Bifurc. Chaos, 2008)

Introduction to Xgrid: Cluster Computing for Everyone - Barbara J. Breen; John F. Lindner (CoRR, 2010)

Watch Your Step: Integrating Nonlinear Dynamical Flows by Stepping Through Space and Time. - Behnam Kia; John F. Lindner; William L. Ditto (Int. J. Bifurc. Chaos, 2014)

Nonlinear dynamics based digital logic and circuits. - Behnam Kia; John F. Lindner; William L. Ditto (Frontiers Comput. Neurosci., 2015)

Coupling Reduces Noise: Applying Dynamical Coupling to Reduce Local White Additive Noise. - Behnam Kia; Sarvenaz Kia; John F. Lindner; Sudeshna Sinha; William L. Ditto (Int. J. Bifurc. Chaos, 2015)

Reduction of Additive Colored Noise Using Coupled Dynamics. - Vivek Kohar; Behnam Kia; John F. Lindner; William L. Ditto (Int. J. Bifurc. Chaos, 2016)

A Simple Nonlinear Circuit Contains an Infinite Number of Functions. - Behnam Kia; John F. Lindner; William L. Ditto (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Mastering high-dimensional dynamics with Hamiltonian neural networks. - Scott T. Miller; John F. Lindner; Anshul Choudhary; Sudeshna Sinha; William L. Ditto (CoRR, 2020)

Forecasting Hamiltonian dynamics without canonical coordinates. - Anshul Choudhary; John F. Lindner; Elliott G. Holliday; Scott T. Miller; Sudeshna Sinha; William L. Ditto (CoRR, 2020)

Neural networks embrace learned diversity. - Anshul Choudhary; Anil Radhakrishnan; John F. Lindner; Sudeshna Sinha; William L. Ditto (CoRR, 2022)

When less is more: evolving large neural networks from small ones. - Anil Radhakrishnan; John F. Lindner; Scott T. Miller; Sudeshna Sinha; William L. Ditto (CoRR, 2025)