2017 - Fellow, National Academy of Inventors
2004 - Fellow of the Indian National Academy of Engineering (INAE)
2003 - Fellow of American Physical Society (APS) Citation For achievements in experimental nonlinear dynamics, especially as applied to biological systems such as the heart and the brain
His primary areas of investigation include Chaotic, Statistical physics, Control theory, Stochastic resonance and Logic gate. William L. Ditto combines subjects such as State and Magnetic field with his study of Chaotic. His research in Statistical physics intersects with topics in Lyapunov exponent, Liapunov function, Nonlinear system, Attractor and Synchronization of chaos.
His Nonlinear system study combines topics in areas such as Sprague dawley, Nerve net and Epileptic foci. His work deals with themes such as NOR gate and Electronic engineering, which intersect with Control theory. His work is dedicated to discovering how Stochastic resonance, Noise are connected with Bistability, Signal, Topology, Synchronization and Electronic circuit and other disciplines.
His main research concerns Nonlinear system, Control theory, Chaotic, Logic gate and Statistical physics. As a part of the same scientific family, he mostly works in the field of Nonlinear system, focusing on Artificial neural network and, on occasion, Hamiltonian mechanics. His Control theory research is multidisciplinary, incorporating perspectives in Coupled map lattice, Noise, Stochastic resonance and Control of chaos.
His Chaotic research incorporates themes from Dynamical system, Algorithm and Sensitivity. In his work, Noise is strongly intertwined with Topology, which is a subfield of Logic gate. In his research on the topic of Statistical physics, Classical mechanics is strongly related with Attractor.
His primary scientific interests are in Nonlinear system, Chaos computing, Control theory, Artificial neural network and Dynamical systems theory. His work carried out in the field of Nonlinear system brings together such families of science as Electronic circuit, Statistical physics, Artificial intelligence, Computation and Flexibility. His Chaos computing research is multidisciplinary, incorporating elements of Coupled map lattice, Digital analog, Circuit extraction and Logic block.
His study in Control theory is interdisciplinary in nature, drawing from both Space, Differential equation and Chaos theory. His Dynamical systems theory research is multidisciplinary, relying on both Initial value problem and Function space. His biological study deals with issues like Stochastic resonance, which deal with fields such as Logic gate, Chaotic, Soft computing and Natural computing.
William L. Ditto spends much of his time researching Nonlinear system, Chaotic, Stars, Astrophysics and Nonlinear dynamical systems. His biological study spans a wide range of topics, including Artificial neural network, Electronic circuit, Statistical physics and Computation. His Chaotic study frequently involves adjacent topics like Control of chaos.
His work on Variable star, Cepheid variable and Photometry as part of general Stars research is frequently linked to RR Lyrae variable, bridging the gap between disciplines. His study looks at the intersection of Nonlinear dynamical systems and topics like Noise level with Lattice and Coupled map lattice. His Dynamical systems theory study combines topics from a wide range of disciplines, such as Chaos computing, Topology and Chaos theory.
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Controlling Cardiac Chaos
Alan Garfinkel;Mark L. Spano;William L. Ditto;James N. Weiss.
Controlling chaos in the brain
Steven J. Schiff;Kristin Jerger;Duc H. Duong;Taeun Chang.
Experimental control of chaos.
W. L. Ditto;S. N. Rauseo;M. L. Spano.
Physical Review Letters (1990)
Chaos: From Theory to Applications
Anastasios A. Tsonis;William L. Ditto..
Spatiotemporal evolution of ventricular fibrillation
Francis X. Witkowski;L. Joshua Leon;Patricia A. Penkoske;Wayne R. Giles.
Array enhanced stochastic resonance and spatiotemporal synchronization.
John F. Lindner;Brian K. Meadows;William L. Ditto;Mario E. Inchiosa.
Physical Review Letters (1995)
Stochastic Resonance in a Neuronal Network from Mammalian Brain
Bruce J. Gluckman;Theoden I. Netoff;Emily J. Neel;William L. Ditto.
Physical Review Letters (1996)
Taming spatiotemporal chaos with disorder
Y. Braiman;Y. Braiman;John F. Lindner;John F. Lindner;William L. Ditto.
Experimental observation of a strange nonchaotic attractor.
WL Ditto;ML Spano;HT Savage;SN Rauseo.
Physical Review Letters (1990)
DYNAMICS BASED COMPUTATION
Sudeshna Sinha;William L. Ditto.
Physical Review Letters (1998)
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