Livres sur le sujet « Behavioral oscillations »

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1

McRuer, D. T. Pilot-induced oscillations and human dynamic behavior. [Washington, D. C.] : National Aeronautics and Space Administration, Office of Management, Scientific and Technical Program, 1995.

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2

McRuer, Duane T. Pilot-induced oscillations and human dynamic behavior. Edwards, Calif : Dryden Flight Research Center, 1995.

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3

Chaotic oscillations in mechanical systems. Manchester : Manchester University Press, 1991.

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4

I, Neĭmark I͡U. Stochastic and chaotic oscillations. Dordrecht : Kluwer Academic Publishers, 1992.

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5

Yu, Pogromsky A., dir. Introduction to control of oscillations and chaos. Singapore : World Scientific, 1998.

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6

Oscillations, waves, and chaos in chemical kinetics. Oxford : Oxford University Press, 1994.

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7

I, Neĭmark I͡U. Stokhasticheskie i khaoticheskie kolebanii͡a. Moskva : "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1988.

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8

Gaponov-Grekhov, A. V. Nonlinearities in action : Oscillations, chaos, order, fractals. Berlin : Springer-Verlag, 1992.

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9

Seminar on Oscillation, Bifurcation, and Chaos (1986 University of Toronto). Oscillation, bifurcation, and chaos : Proceedings of the 1986 annual seminar held July 13-25, 1986. Sous la direction de Atkinson F. V, Langford W. F, Mingarelli Angelo B. 1952-, Canadian Mathematical Society et Natural Sciences and Engineering Research Council Canada. Providence, R.I : Published by the American Mathematical Society for the Canadian Mathematical Society, 1987.

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10

Anishchenko, V. S. Dynamical chaos in physical systems : Experimental investigation of self-oscillating circuits. Leipzig : BSB B.G. Teubner Verlagsgesellschaft, 1989.

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I͡A︡, Kislov V., et Guli͡a︡ev I͡U︡ V, dir. Stokhasticheskie kolebanii͡a︡ v radiofizike i ėlektronike. Moskva : "Nauka", 1989.

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Biochemical oscillations and cellular rhythms : The molecular bases of periodic and chaotic behaviour. Cambridge : Cambridge University Press, 1996.

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L, Chernousʹko F., Fradkov A. L et International Conference "Control of Oscillations and Chaos" (1st : 1997 : Saint Petersburg, Russia), dir. Control of oscillations and chaos : 1997 1st international conference : proceedings : August 27-29, St. Petersburg, Russia. [New York] : IEEE, 1997.

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International Conference on Control of Oscillations and Chaos (2nd 2000 St. Petersburg, Russia). 2000 2nd International Conference [on] Control of Oscillations and Chaos : Proceedings : July 5-7, St. Petersburg, Russia. St. Petersburg, Russia : the Institute for Problems of Mechanical Engineering, 2000.

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Ueda, Yoshisuke. The road to chaos. Santa Cruz, CA : Aerial Press, 1992.

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Yoshisuke, Ueda. The road to chaos-II. 2e éd. Santa Cruz, CA : Aerial Press, 1992.

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Yoshisuke, Ueda. The road to chaos. Santa Cruz, CA : Aerial Press, 1992.

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18

Pierre, Bergé. L' ordre dans le chaos : Vers une approche déterministe de la turbulence. Paris : Hermann, 1988.

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19

Pacault, A. Rythmes et formes en chimie : Histoire des structures dissipatives. Paris : Presses Universitaires de France, 1997.

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J, Field Richard, et Györgyi László, dir. Chaos in chemistry and biochemistry. Singapore : World Scientific, 1993.

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21

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi : Shanghai da xue chu ban she, 2010.

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22

Pfurtscheller, Gert, et Fernando Lopes da Silva. EEG Event-Related Desynchronization and Event-Related Synchronization. Sous la direction de Donald L. Schomer et Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0040.

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Event-related desynchronization (ERD) reflects a decrease of oscillatory activity related to internally or externally paced events. The increase of rhythmic activity is called event-related synchronization (ERS). They represent dynamical states of thalamocortical networks associated with cortical information-processing changes. This chapter discusses differences between ERD/ERS and evoked response potentials and methodologies for quantifying ERD/ERS and selecting frequency bands. It covers the interpretation of ERD/ERS in the alpha and beta bands and theta ERS and alpha ERD in behavioral tasks. ERD/ERS in scalp and subdural recordings, in various frequency bands, is discussed. Also presented is the modulation of alpha and beta rhythms by 0.1-Hz oscillations in the resting state and phase-coupling of the latter with slow changes of prefrontal hemodynamic signals (HbO2), blood pressure oscillations, and heart rate interval variations in the resting state and in relation to behavioral motor tasks. Potential uses of ERD-based strategies in stroke patients are discussed.
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23

Jones, Barbara E. Neuroanatomical, neurochemical, and neurophysiological bases of waking and sleeping. Sous la direction de Sudhansu Chokroverty, Luigi Ferini-Strambi et Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0004.

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Neurons distributed through the reticular core of the brainstem, hypothalamus, and basal forebrain and giving rise to ascending projections to the cortex or descending projections to the spinal cord promote the changes in cortical activity and behavior that underlie the sleep–wake cycle and three states of waking, NREM (slow wave) sleep, and REM (paradoxical) sleep. Forming the basic units of these systems, glutamate and GABA cell groups are heterogeneous in discharge profiles and projections, such that different subgroups can promote cortical activation (wake/REM(PS)-active) versus cortical deactivation (NREM(SWS)-active) by ascending influences or behavioral arousal with muscle tone (wake-active) versus behavioral quiescence with muscle atonia (NREM/REM(PS)-active) by descending influences. These different groups are in turn regulated by neuromodulatory systems, including cortical activation (wake/REM(PS)-active acetylcholine neurons), behavioral arousal (wake-active noradrenaline, histamine, serotonin, and orexin neurons), and behavioral quiescence (NREM/REM(PS)-active MCH neurons). By different projections, chemical neurotransmitters and discharge profiles, distinct cell groups thus act and interact to promote cyclic oscillations in cortical activity and behavior forming the sleep-wake cycle and states.
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24

Selverston, Allen. Rhythms and oscillations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0021.

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The study of identifiable neurons, a common feature of invertebrate nervous systems, has made it possible to construct a detailed cell-to-cell connectivity map using electrophysiological methods that can inspire the design of biomimetic systems. This chapter describes how the analysis of the neural circuitry in the lobster stomatogastric ganglion (STG) has provided some general principles underlying oscillatory and rhythmic behavior in all animals. The rhythmic and oscillatory patterns produced by the two STG central pattern generating (CPG) circuits are a result of two cooperative mechanisms, intrinsically bursting pacemaker neurons and synaptic network properties. Also covered are the major neuromodulatory and neural control mechanisms. The chapter discusses how a deep knowledge of the stomatogastric circuitry has led to the development of electronic neurons for biomimetic devices that can be used for experimental and prosthetic applications The chapter concludes with a section on new techniques that may help with unraveling oscillatory circuits in the brain.
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25

Kapitaniak, Tomasz. Chaotic Oscillations in Mechanical Systems. Wiley & Sons, Incorporated, John, 1992.

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26

Amzica, Florin, et Fernando H. Lopes da Silva. Cellular Substrates of Brain Rhythms. Sous la direction de Donald L. Schomer et Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0002.

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The purpose of this chapter is to familiarize the reader with the basic electrical patterns of the electroencephalogram (EEG). Brain cells (mainly neurons and glia) are organized in multiple levels of intricate networks. The cellular membranes are semipermeable media between extracellular and intracellular solutions, populated by ions and other electrically charged molecules. This represents the basis of electrical currents flowing across cellular membranes, further generating electromagnetic fields that radiate to the scalp electrodes, which record changes in the activity of brain cells. This chapter presents these concepts together with the mechanisms of building up the EEG signal. The chapter discusses the various behavioral conditions and neurophysiological mechanisms that modulate the activity of cells leading to the most common EEG patterns, such as the cellular interactions for alpha, beta, gamma, slow, delta, and theta oscillations, DC shifts, and some particular waveforms such as sleep spindles and K-complexes and nu-complexes.
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27

Gottlieb, Oded. Nonlinear oscillations, bifurcations and chaos in ocean mooring systems. 1991.

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28

Control of Oscillations and Chaos : 2000 2nd International Conference Proceedings. Institute of Electrical & Electronics Enginee, 2000.

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29

Gaponov-Grekhov, Andrei V., Mikhail I. Rabinovich, E. F. Hefter et N. Krivatkina. Nonlinearities in Action : Oscillations Chaos Order Fractals. Springer, 2011.

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30

Gaponov-Grekhov, Andrei V., et Mikhail I. Rabinovich. Nonlinearities in Action : Oscillations, Chaos, Order, Fractals. Springer, 1993.

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31

Berridge, M. J., et Albert Goldbeter. Biochemical Oscillations and Cellular Rhythms : The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 2010.

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32

(Foreword), M. J. Berridge, dir. Biochemical Oscillations and Cellular Rhythms : The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 1997.

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33

Berridge, M. J., et Albert Goldbeter. Biochemical Oscillations and Cellular Rhythms : The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 2011.

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34

Smith, Leonard Allen. Lacunarity and chaos in nature. 1993.

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35

Neimark, J. I., et P. S. Landa. Stochastic and Chaotic Oscillations (Mathematics and its Applications). Springer, 1992.

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36

Herman, David. Explanation and Understanding in Animal Narratives. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190850401.003.0008.

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With chapter 6 having described the way norms for mental-state ascriptions operate in a top-down manner in discourse domains, chapter 7 explores how individual narratives can in turn have a bottom-up impact on the ascriptive norms circulating within particular domains. To this end, the chapter discusses how Thalia Field’s 2010 experimental narrative Bird Lovers, Backyard employs a strategic oscillation between two nomenclatures that can be used to profile nonhuman as well as human behaviors: (1) the register of action, which characterizes behavior in terms of motivations, goals, and projects; and (2) the register of events, which characterizes behavior in terms of caused movements that have duration in time and direction in space. In braiding together these two registers, Field’s text suggests not only how discourse practices can be repatterned, but also how such repatterning enables broader paradigm shifts—in this case shifts in ways of understanding cross-species encounters and entanglements.
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Lepora, Nathan F. Building blocks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0013.

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This chapter introduces the “building blocks” section of the Handbook of Living Machines which explores the individual sensory and motor components that when pieced together can comprise a complete biological or artificial system. The first six chapters cover the senses of vision, audition, touch, taste, and smell (considered together as chemosensing, proprioception, and electrosensing). The remaining chapters review aspects of the biomimetics of animal movement. First, that biological muscle has many performance benefits compared with conventional electric, second, how oscillations in neural circuits can drive rhythmic movements, and finally the capacity of animal skin, in species such as geckos, to adhere to surfaces and support behaviors such as climbing.
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Nobre, Anna C. (Kia), et Gustavo Rohenkohl. Time for the Fourth Dimension in Attention. Sous la direction de Anna C. (Kia) Nobre et Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.036.

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This chapter takes attention into the fourth dimension by considering research that explores how predictive information in the temporal structure of events can contribute to optimizing perception. The authors review behavioural and neural findings from three lines of investigation in which the temporal regularity and predictability of events are manipulated through rhythms, hazard functions, and cues. The findings highlight the fundamental role temporal expectations play in shaping several aspects of performance, from early perceptual analysis to motor preparation. They also reveal modulation of neural activity by temporal expectations all across the brain. General principles of how temporal expectations are generated and bias information processing are still emerging. The picture so far suggests that there may be multiple sources of temporal expectation, which can bias multiple stages of stimulus analysis depending on the stages of information processing that are critical for task performance. Neural oscillations are likely to provide an important medium through which the anticipated timing of events can regulate neuronal excitability.
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Granic, Isabela, et Jessica P. Lougheed. The Role of Anxiety in Coercive Family Processes with Aggressive Children. Sous la direction de Thomas J. Dishion et James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.18.

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The majority of aggressive children exhibit symptoms of anxiety. This chapter outlines a novel theoretical model that builds explicitly on coercion theory, linking aggression with the regulation of anxiety in both caregivers and children. Three hypotheses are suggested and data are applied to support this model: (1) unpredictable oscillations between permissive and hostile parenting (two distinct aspects of the coercive cycle) induces anxiety in children, which in turn triggers aggressive behavior; (2) peer relations and difficult school contexts exacerbate anxiety, which in turn may trigger bouts of aggression that function as regulation for distressing emotions; and (3) to improve the efficacy of treatments for childhood aggression, anxiety needs to be one of the primary targets of treatment. Almost no research has directly tested these hypotheses, but the chapter reviews extant research and theory consistent with these claims and suggests future research designs that can test them specifically.
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Kinoshita, Shuichi. Pattern Formations and Oscillatory Phenomena. Elsevier, 2013.

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Luo, Albert C. J. Toward Analytical Chaos in Nonlinear Systems. Wiley & Sons, Incorporated, John, 2014.

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Toward Analytical Chaos in Nonlinear Systems. WIley, 2014.

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Luo, Albert C. J. Toward Analytical Chaos in Nonlinear Systems. Wiley & Sons, Incorporated, John, 2014.

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Kinoshita, Shuichi. Pattern Formations and Oscillatory Phenomena. Elsevier Science & Technology Books, 2013.

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Covassin, Naima, et Virend K. Somers. The cardiovascular system during sleep. Sous la direction de Guido Grassi. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0028.

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The majority of molecular, physiological, and behavioural processes undergo substantial variations across a 24 h period. The health implications of such fluctuations, whether they are expressions of an intrinsic circadian rhythmicity or are secondary to changes in physical activity, posture, and/or sleep, are increasingly recognized. Similar to other biological functions, the cardiovascular system exhibits a prominent day–night profile, with profound haemodynamic, autonomic, and hormonal oscillations occurring during the sleep period. These time-dependent and sleep stage-dependent patterns of function have important clinical significance. The cardiovascular downregulation achieved throughout the night while asleep may be restorative and protective against adverse events, while the morning physiological activation coincident with awakening facilitates resumption of daytime activities. Nevertheless, rather than beneficial, these activity configurations may be pathogenic in individuals with a vulnerable substrate and may favour onset and progression of cardiovascular diseases. Cardiovascular complications may also arise as a consequence of abnormal day–night periodicity and disturbed sleep quantity and quality. Hence, consideration of the diurnal pattern of cardiovascular activity is critical in the clinical setting.
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Steel, Duncan G. Introduction to Quantum Nanotechnology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192895073.001.0001.

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Quantum physics is rapidly emerging as a transformative approach to expand the frontiers of technology in areas including communications, information processing, metrology, and sensing. Indeed, the end of Moore’s Law looms in the near future and quantum effects in modern electronics such as quantum tunneling are a limiting factor. In contrast, in new technology based on quantum behavior, the quantum properties represent a new dimension of opportunity. This shift is already creating a growing need for engineers and physical scientists who have specialized knowledge in this area, in order to contribute to the growing effort. There are numerous outstanding textbooks available for a general approach to the field of quantum physics. There is much to be gained by taking the traditional learning approach, but it can take two or three years before students encounter many of the exciting ideas and tools for this area. This book takes an application-motivated approach to enable students to build a quantum toolbox. The first six chapters describe the quantum states of various systems of interest, while the remaining chapters focus mainly on dynamics. Important concepts like the quantum flip-flop, based using Rabi oscillations, and engineering the quantum vacuum are presented. Powerful tools including the atomic operator approach and density matrix operator are introduced with examples of applications. This book is aimed at upper level undergraduates and some first year graduate students. The book is arranged to fulfil the needs for a one-semester or two-semester sequence. For a one-semester sequence, the preface describes several paths that emphasize different aspects of quantum behavior.
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