1989
DOI: 10.1063/1.2811091
|View full text |Cite
|
Sign up to set email alerts
|

From Clocks to Chaos: The Rhythms of Life

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
393
0
15

Year Published

1995
1995
2011
2011

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 447 publications
(437 citation statements)
references
References 0 publications
4
393
0
15
Order By: Relevance
“…The SWIFT model is a (stochastic) nonlinear dynamical system with time delay, a class of models that can generate very rich behavior (Glass & Mackey, 1988). Although the complexity of behavior generated by our model is qualitatively as rich as the experimentally observed eye movements, the mathematical analysis of model simulations provides new insight into the underlying principles of eye-movement control.…”
Section: Appendix C Dynamical Analysis Of Swiftmentioning
confidence: 98%
“…The SWIFT model is a (stochastic) nonlinear dynamical system with time delay, a class of models that can generate very rich behavior (Glass & Mackey, 1988). Although the complexity of behavior generated by our model is qualitatively as rich as the experimentally observed eye movements, the mathematical analysis of model simulations provides new insight into the underlying principles of eye-movement control.…”
Section: Appendix C Dynamical Analysis Of Swiftmentioning
confidence: 98%
“…Although we consider only one preparatory action potential, our model is so simple that identical results would be obtained from multiple preparatory action potentials. Experimental data from this protocol is often fitted with a restitution function of the form [e.g., Nolasco and Dahlen (1968), Guevara et al (1984), Glass and Mackey (1988)]…”
Section: Remarkmentioning
confidence: 99%
“…These "universal" behaviors appear in a variety of systems in physics, engineering, biology, chemistry, and electrochemistry. [5][6][7][8][9][10][11][12][13][14] The effort to understand chaos has attracted a great deal of attention in the past four decades. When a parameter of a deterministic system is varied, chaotic behavior can appear through a number of routes, including period-doubling, quasiperiodic, mixed-mode, and intermittent bifurcations.…”
Section: Introductionmentioning
confidence: 99%