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Order in spontaneous behavior.

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Order in spontaneous behavior. / Maye, Alexander; Hsieh, Chih-Hao; Sugihara, George; Brembs, Björn.

in: PLOS ONE, Jahrgang 2, Nr. 5, 5, 2007, S. 443.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Maye, A, Hsieh, C-H, Sugihara, G & Brembs, B 2007, 'Order in spontaneous behavior.', PLOS ONE, Jg. 2, Nr. 5, 5, S. 443. https://doi.org/10.1371/journal.pone.0000443

APA

Maye, A., Hsieh, C-H., Sugihara, G., & Brembs, B. (2007). Order in spontaneous behavior. PLOS ONE, 2(5), 443. [5]. https://doi.org/10.1371/journal.pone.0000443

Vancouver

Maye A, Hsieh C-H, Sugihara G, Brembs B. Order in spontaneous behavior. PLOS ONE. 2007;2(5):443. 5. https://doi.org/10.1371/journal.pone.0000443

Bibtex

@article{da15075db63249a094cde128f7e4157f,
title = "Order in spontaneous behavior.",
abstract = "Brains are usually described as input/output systems: they transform sensory input into motor output. However, the motor output of brains (behavior) is notoriously variable, even under identical sensory conditions. The question of whether this behavioral variability merely reflects residual deviations due to extrinsic random noise in such otherwise deterministic systems or an intrinsic, adaptive indeterminacy trait is central for the basic understanding of brain function. Instead of random noise, we find a fractal order (resembling L{\'e}vy flights) in the temporal structure of spontaneous flight maneuvers in tethered Drosophila fruit flies. L{\'e}vy-like probabilistic behavior patterns are evolutionarily conserved, suggesting a general neural mechanism underlying spontaneous behavior. Drosophila can produce these patterns endogenously, without any external cues. The fly's behavior is controlled by brain circuits which operate as a nonlinear system with unstable dynamics far from equilibrium. These findings suggest that both general models of brain function and autonomous agents ought to include biologically relevant nonlinear, endogenous behavior-initiating mechanisms if they strive to realistically simulate biological brains or out-compete other agents.",
author = "Alexander Maye and Chih-Hao Hsieh and George Sugihara and Bj{\"o}rn Brembs",
year = "2007",
doi = "10.1371/journal.pone.0000443",
language = "Deutsch",
volume = "2",
pages = "443",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "5",

}

RIS

TY - JOUR

T1 - Order in spontaneous behavior.

AU - Maye, Alexander

AU - Hsieh, Chih-Hao

AU - Sugihara, George

AU - Brembs, Björn

PY - 2007

Y1 - 2007

N2 - Brains are usually described as input/output systems: they transform sensory input into motor output. However, the motor output of brains (behavior) is notoriously variable, even under identical sensory conditions. The question of whether this behavioral variability merely reflects residual deviations due to extrinsic random noise in such otherwise deterministic systems or an intrinsic, adaptive indeterminacy trait is central for the basic understanding of brain function. Instead of random noise, we find a fractal order (resembling Lévy flights) in the temporal structure of spontaneous flight maneuvers in tethered Drosophila fruit flies. Lévy-like probabilistic behavior patterns are evolutionarily conserved, suggesting a general neural mechanism underlying spontaneous behavior. Drosophila can produce these patterns endogenously, without any external cues. The fly's behavior is controlled by brain circuits which operate as a nonlinear system with unstable dynamics far from equilibrium. These findings suggest that both general models of brain function and autonomous agents ought to include biologically relevant nonlinear, endogenous behavior-initiating mechanisms if they strive to realistically simulate biological brains or out-compete other agents.

AB - Brains are usually described as input/output systems: they transform sensory input into motor output. However, the motor output of brains (behavior) is notoriously variable, even under identical sensory conditions. The question of whether this behavioral variability merely reflects residual deviations due to extrinsic random noise in such otherwise deterministic systems or an intrinsic, adaptive indeterminacy trait is central for the basic understanding of brain function. Instead of random noise, we find a fractal order (resembling Lévy flights) in the temporal structure of spontaneous flight maneuvers in tethered Drosophila fruit flies. Lévy-like probabilistic behavior patterns are evolutionarily conserved, suggesting a general neural mechanism underlying spontaneous behavior. Drosophila can produce these patterns endogenously, without any external cues. The fly's behavior is controlled by brain circuits which operate as a nonlinear system with unstable dynamics far from equilibrium. These findings suggest that both general models of brain function and autonomous agents ought to include biologically relevant nonlinear, endogenous behavior-initiating mechanisms if they strive to realistically simulate biological brains or out-compete other agents.

U2 - 10.1371/journal.pone.0000443

DO - 10.1371/journal.pone.0000443

M3 - SCORING: Zeitschriftenaufsatz

VL - 2

SP - 443

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 5

M1 - 5

ER -