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James P. Crutchfield

Researcher at University of California, Davis

Publications -  338
Citations -  20738

James P. Crutchfield is an academic researcher from University of California, Davis. The author has contributed to research in topics: Entropy rate & Dynamical systems theory. The author has an hindex of 62, co-authored 314 publications receiving 19299 citations. Previous affiliations of James P. Crutchfield include University of California, Santa Cruz & PARC.

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Structure or Noise

TL;DR: It is shown how rate-distortion theory provides a mechanism for automated theory building by naturally distinguishing between regularity and randomness by constructing an objective function for model making whose extrema embody the trade-off between a model's structural complexity and its predictive power.
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Quantum Automata and Quantum Grammars

TL;DR: In this paper, the authors propose quantum versions of finite-state and push-down automata, and regular and context-free grammars, and find analogs of classical theorems, including pumping lemmas, closure properties, rational and algebraic generating functions, and Greibach normal form.
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Dynamical Embodiments of Computation in Cognitive Processes

TL;DR: Dynamics is not enough for cognition, nor it is a substitute for information-processing aspects of brain behavior, but it can be synthesized so that any dynamical system can be analyzed in terms of its intrinsic computational components.
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Patterns of patterns of synchronization: Noise induced attractor switching in rings of coupled nonlinear oscillators.

TL;DR: In this article, the authors investigate the patterns of switching between distinct trajectories in a network of synchronized oscillators, consisting of nonlinear amplitude-phase oscillators arranged in a ring topology with reactive nearest-neighbor coupling.
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Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning: A Comparison of Two Methods

TL;DR: In this paper, the authors compare decision thresholds and receiver operating characteristic methods together with Shannon information entropy, and conclude that the resulting timeseries can be viewed as proxies for the cycle of stress accumulation and release associated with major tectonic activity.