Characterization of low-dimensional dynamics in the crayfish caudal photoreceptor

[1]  S J Schiff,et al.  Predictability of EEG interictal spikes. , 1995, Biophysical journal.

[2]  Collins,et al.  Controlling nonchaotic neuronal noise using chaos control techniques. , 1995, Physical review letters.

[3]  Moss,et al.  Detecting periodic unstable points in noisy chaotic and limit cycle attractors with applications to biology. , 1995, Physical review letters.

[4]  W. Ditto,et al.  Controlling chaos in the brain , 1994, Nature.

[5]  S J Schiff,et al.  Stochastic versus deterministic variability in simple neuronal circuits: I. Monosynaptic spinal cord reflexes. , 1994, Biophysical journal.

[6]  David Ruelle,et al.  Where Can One Hope to Profitably Apply the Ideas of Chaos , 1994 .

[7]  D. T. Kaplan,et al.  Exceptional events as evidence for determinism , 1994 .

[8]  Douglass,et al.  A STIMULUS PARADIGM FOR ANALYSIS OF NEAR-FIELD HYDRODYNAMIC SENSITIVITY IN CRUSTACEANS , 1994, The Journal of experimental biology.

[9]  Robert Gilmore,et al.  COMPLEXITY AND CHAOS II , 1993 .

[10]  Valery Petrov,et al.  Controlling chaos in the Belousov—Zhabotinsky reaction , 1993, Nature.

[11]  James Theiler,et al.  Testing for nonlinearity in time series: the method of surrogate data , 1992 .

[12]  A Garfinkel,et al.  Controlling cardiac chaos. , 1992, Science.

[13]  Hatsuo Hayashi,et al.  Chaotic nature of bursting discharges in the Onchidium pacemaker neuron , 1992 .

[14]  Roy,et al.  Dynamical control of a chaotic laser: Experimental stabilization of a globally coupled system. , 1992, Physical review letters.

[15]  Hunt.  Stabilizing high-period orbits in a chaotic system: The diode resonator. , 1991, Physical review letters.

[16]  P. Cvitanović,et al.  Periodic orbits as the skeleton classical and quantum chaos , 1991 .

[17]  Ditto,et al.  Experimental control of chaos. , 1990, Physical review letters.

[18]  Erik Aurell,et al.  Recycling of strange sets: I. Cycle expansions , 1990 .

[19]  E. Aurell,et al.  Recycling of strange sets: II. Applications , 1990 .

[20]  George Sugihara,et al.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.

[21]  D. Ruelle,et al.  The Claude Bernard Lecture, 1989 - Deterministic chaos: the science and the fiction , 1990, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[22]  Cvitanovic,et al.  Invariant measurement of strange sets in terms of cycles. , 1988, Physical review letters.

[23]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[24]  P. Grassberger,et al.  Measuring the Strangeness of Strange Attractors , 1983 .

[25]  Robert M. May,et al.  BIFURCATIONS AND DYNAMIC COMPLEXITY IN ECOLOGICAL SYSTEMS * , 1979 .

[26]  Robert M. May,et al.  Simple mathematical models with very complicated dynamics , 1976, Nature.

[27]  F. Takens,et al.  On the nature of turbulence , 1971 .

[28]  R. E. Olsen,et al.  Afferent Stochastic Modulation of Crayfish Caudal Photoreceptor Units , 1968, The Journal of General Physiology.

[29]  D. Kennedy,et al.  Physiology of Photoreceptor Neurons in the Abdominal Nerve Cord of the Crayfish , 1963, The Journal of general physiology.

[30]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos , 2024 .

[31]  Celso Grebogi,et al.  Using small perturbations to control chaos , 1993, Nature.

[32]  B. Fuentes-Pardo,et al.  Spectral sensitivity in the course of the ontogeny of the crayfish Procambarus clarckii , 1988 .