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Literatura académica sobre el tema "Temporal oscillators"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 14 de febrero de 2022

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Artículos de revistas sobre el tema "Temporal oscillators"

1

Horn, David, and Irit Opher. "Temporal Segmentation in a Neural Dynamic System." Neural Computation 8, no. 2 (February 15, 1996): 373–89. http://dx.doi.org/10.1162/neco.1996.8.2.373.

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Oscillatory attractor neural networks can perform temporal segmentation, i.e., separate the joint inputs they receive, through the formation of staggered oscillations. This property, which may be basic to many perceptual functions, is investigated here in the context of a symmetric dynamic system. The fully segmented mode is one type of limit cycle that this system can develop. It can be sustained for only a limited number n of oscillators. This limitation to a small number of segments is a basic phenomenon in such systems. Within our model we can explain it in terms of the limited range of na

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2

Lestienne, Rémy. "Intrinsic and Extrinsic Neuronal Mechanisms in Temporal Coding: A Further Look at Neuronal Oscillations." Neural Plasticity 6, no. 4 (1999): 173–89. http://dx.doi.org/10.1155/np.1999.173.

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Many studies in recent years have been devoted to the detection of fast oscillations in the Central Nervous System (CNS), interpreting them as synchronizing devices. We should, however, refrain from associating too closely the two concepts of synchronization and oscillation. Whereas synchronization is a relatively well-defined concept, by contrast oscillation of a population of neurones in the CNS looks loosely defined, in the sense that both its frequency sharpness and the duration of the oscillatory episodes vary widely from case to case. Also, the functions of oscillations in the brain are

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3

Levy, Chagai, Monika Pinchas, and Yosef Pinhasi. "A New Approach for the Characterization of Nonstationary Oscillators Using the Wigner-Ville Distribution." Mathematical Problems in Engineering 2018 (July 11, 2018): 1–14. http://dx.doi.org/10.1155/2018/4942938.

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Oscillators and clocks are affected by physical mechanisms causing amplitude fluctuations, phase noise, and frequency instabilities. The physical properties of the elements composing the oscillator as well as external environmental conditions play a role in the characteristics of the oscillatory signal produced by the device. Such instabilities demonstrate frequency drifts and modulation and spectrum broadening and are observed to be nonstationary processes in nature. Most of tools which are being used to measure and characterize oscillator stability are based on signal processing techniques,

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4

Levy, Chagai, Monika Pinchas, and Yosef Pinhasi. "Characterization of Nonstationary Phase Noise Using the Wigner–Ville Distribution." Mathematical Problems in Engineering 2020 (April 20, 2020): 1–7. http://dx.doi.org/10.1155/2020/1685762.

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Oscillators and atomic clocks, as well as lasers and masers, are affected by physical mechanisms causing amplitude fluctuations, phase noise, and frequency instabilities. The physical properties of the elements composing the oscillator as well as external environmental conditions play a role in the coherence of the oscillatory signal produced by the device. Such instabilities demonstrate frequency drifts, modulation, and spectrum broadening and are observed to be nonstationary processes in nature. Most of the tools which are being used to measure and characterize oscillator stability are based

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5

LABBI, ABDERRAHIM, RUGGERO MILANESE, and HOLGER BOSCH. "ASYMPTOTIC SYNCHRONIZATION IN NETWORKS OF LOCALLY CONNECTED OSCILLATORS." International Journal of Bifurcation and Chaos 09, no. 12 (December 1999): 2279–84. http://dx.doi.org/10.1142/s0218127499001759.

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In this paper, we describe the asymptotic behavior of a network of locally connected oscillators. The main result concerns asymptotic synchronization. The presented study is stated in the framework of neuronal modeling of visual object segmentation using oscillatory correlation. The practical motivations of the synchronization analysis are based on neurophysiological experiments which led to the assumptions that existence of temporal coding schemes in the brain by which neurons, with oscillatory dynamics, coding for the same coherent object synchronize their activities, while neurons coding fo

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6

Baier, Gerold, and Sven Sahle. "Spatio-temporal patterns with hyperchaotic dynamics in diffusively coupled biochemical oscillators." Discrete Dynamics in Nature and Society 1, no. 2 (1997): 161–67. http://dx.doi.org/10.1155/s1026022697000162.

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We present three examples how complex spatio-temporal patterns can be linked to hyperchaotic attractors in dynamical systems consisting of nonlinear biochemical oscillators coupled linearly with diffusion terms. The systems involved are: (a) a two-variable oscillator with two consecutive autocatalytic reactions derived from the Lotka–Volterra scheme; (b) a minimal two-variable oscillator with one first-order autocatalytic reaction; (c) a three-variable oscillator with first-order feedback lacking autocatalysis. The dynamics of a finite number of coupled biochemical oscillators may account for

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7

Treisman, Michel, Norman Cook, Peter L. N. Naish, and Janice K. MacCrone. "The Internal Clock: Electroencephalographic Evidence for Oscillatory Processes Underlying Time Perception." Quarterly Journal of Experimental Psychology Section A 47, no. 2 (May 1994): 241–89. http://dx.doi.org/10.1080/14640749408401112.

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It has been proposed that temporal perception and performance depend on a biological source of temporal information. A model for a temporal oscillator put forward by Treisman, Faulkner, Naish, and Brogan (1990) predicted that if intense sensory pulses (such as auditory clicks) were presented to subjects at suitable rates they would perturb the frequency at which the temporal oscillator runs and so cause over- or underestimation of time. The resulting pattern of interference between sensory pulse rates and time judgments would depend on the frequency of the temporal oscillator and so might allo

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8

Chaix, Amandine, Amir Zarrinpar, and Satchidananda Panda. "The circadian coordination of cell biology." Journal of Cell Biology 215, no. 1 (October 10, 2016): 15–25. http://dx.doi.org/10.1083/jcb.201603076.

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Circadian clocks are cell-autonomous timing mechanisms that organize cell functions in a 24-h periodicity. In mammals, the main circadian oscillator consists of transcription–translation feedback loops composed of transcriptional regulators, enzymes, and scaffolds that generate and sustain daily oscillations of their own transcript and protein levels. The clock components and their targets impart rhythmic functions to many gene products through transcriptional, posttranscriptional, translational, and posttranslational mechanisms. This, in turn, temporally coordinates many signaling pathways, m

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9

Mondal, Sirshendu, Vishnu R. Unni, and R. I. Sujith. "Onset of thermoacoustic instability in turbulent combustors: an emergence of synchronized periodicity through formation of chimera-like states." Journal of Fluid Mechanics 811 (December 15, 2016): 659–81. http://dx.doi.org/10.1017/jfm.2016.770.

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Thermoacoustic systems with a turbulent reactive flow, prevalent in the fields of power and propulsion, are highly susceptible to oscillatory instabilities. Recent studies showed that such systems transition from combustion noise to thermoacoustic instability through a dynamical state known as intermittency, where bursts of large-amplitude periodic oscillations appear in a near-random fashion in between regions of low-amplitude aperiodic fluctuations. However, as these analyses were in the temporal domain, this transition remains still unexplored spatiotemporally. Here, we present the spatiote

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10

Wang, DeLiang, Joachim Buhmann, and Christoph von der Malsburg. "Pattern Segmentation in Associative Memory." Neural Computation 2, no. 1 (March 1990): 94–106. http://dx.doi.org/10.1162/neco.1990.2.1.94.

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The goal of this paper is to show how to modify associative memory such that it can discriminate several stored patterns in a composite input and represent them simultaneously. Segmention of patterns takes place in the temporal domain, components of one pattern becoming temporally correlated with each other and anticorrelated with the components of all other patterns. Correlations are created naturally by the usual associative connections. In our simulations, temporal patterns take the form of oscillatory bursts of activity. Model oscillators consist of pairs of local cell populations connecte

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Tesis sobre el tema "Temporal oscillators"

1

Camacho, Lopez Santiago. "Spatio-temporal dynamics of nonlinear volume gratings for holographic laser oscillators." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311942.

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Ng, Li Huang Honey. "Evaluating models of verbal serial short-term memory using temporal grouping phenomena." University of Western Australia. School of Psychology, 2007. http://theses.library.uwa.edu.au/adt-WU2008.0059.

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[Truncated abstract] Various capabilities such as the ability to read or conduct a conversation rely on our ability to maintain and recall information in the correct order. Research spanning more than a century has been devoted to understanding how units of information are retained in order in short-term memory. The nature of the mechanisms that code the positions of items in serial short-term verbal recall can be investigated by examining a set of phenomena that can be termed temporal grouping effects. Inserting extended pauses to break a list of verbal items into sub-lists (e.g. SHD-QNR-BJF,

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3

Kosem, Anne. "Cortical oscillations as temporal reference frames for perception." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2014. http://tel.archives-ouvertes.fr/tel-01069219.

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The timing of sensory events is a crucial perceptual feature, which affects both explicit judgments of time (e.g. duration, temporal order) and implicit temporal perception (e.g. movement, speech). Yet, while the relative external timing between events is commonly evaluated with a clock in physics, the brain does not have access to this external reference. In this dissertation, we tested the hypothesis that the brain should recover the temporal information of the environment from its own dynamics. Using magnetoencephalography (MEG) combined with psychophysics, the experimental work suggests th

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4

Han, Biao. "Predictive coding : its spike-time based neuronal implementation and its relationship with perception and oscillations." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30029/document.

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Dans cette thèse, nous avons étudié le codage prédictif and sa relation avec la perception et les oscillations. Nous avons, dans l'introduction, fait une revue des connaissances sur les neurones et le néocortex et un état de l'art du codage prédictif. Dans les chapitres principaux, nous avons tout d'abord, proposé l'idée, au travers d'une étude théorique, que la temporalité de la décharge crée une inhibition sélective dans les réseaux excitateurs non-sélectifs rétroactifs. Ensuite, nous avons montré les effets perceptuels du codage prédictif: la perception de la forme améliore la perception du

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5

Chorley, N. "Spatial and temporal analysis of sunspot oscillations." Thesis, University of Warwick, 2011. http://wrap.warwick.ac.uk/47200/.

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Sunspots are the most conspicuous feature seen on the solar photosphere and are manifestations of the solar magnetic field. Their study, then, may provide us with a greater understanding of the dynamo mechanism thought to be responsible for the generation of this field. In this thesis, the oscillations of sunspots are studied by making use of observational data from two instruments: the Nobeyama Radioheliograph (NoRH) and the Solar Optical Telescope (SOT) on board the Hinode spacecraft. First, a study of long period oscillations was undertaken in which two long period peaks (P > 10 min) were i

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6

Adhimoolam, Balaji. "Diode-oscillator fiber-amplifier systems: versatile, high power spectro-temporal control." Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/57343.

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7

Khalid, Benyaich. "Bistability, temporal oscillations and Turing patterns in a spatial reactor." Doctoral thesis, Universite Libre de Bruxelles, 2005. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210948.

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8

Michelmann, Sebastian. "Temporal dynamics and mechanisms of oscillatory pattern reinstatement in human episodic memory." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8489/.

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A fundamental question in the investigation of episodic memory is how the human brain represents information from the past. This thesis introduces a new method that tracks content specific representations in rhythmic fluctuations of brain activity (i.e. brain oscillations). It is demonstrated that a frequency band centred at 8 Hz carries information about remembered stimulus content. This is shown in human electrophysiological recordings during episodic memory formation and retrieval. Strong and sustained power decreases consistently mark this 8 Hz frequency band; successful memory encoding an

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9

Webb, Dominic-Luc. "Temporal monitoring of intracellular Ca²⁺ signaling and origins of Ca²⁺ oscillations /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-741-3/.

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10

Vincent-Lamarre, Philippe. "Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39960.

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Many living organisms have the ability to execute complex behaviors and cognitive processes that are reliable. In many cases, such tasks are generated in the absence of an ongoing external input that could drive the activity on their underlying neural populations. For instance, writing the word "time" requires a precise sequence of muscle contraction in the hand and wrist. There has to be some patterns of activity in the areas of the brain responsible for this behaviour that are endogenously generated every time an individual performs this action. Whereas the question of how such neural code i

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Libros sobre el tema "Temporal oscillators"

1

Rensing, Ludger, Uwe an der Heiden, and Michael C. Mackey. Temporal Disorder in Human Oscillatory Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72637-8.

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2

Rensing, Ludger. Temporal Disorder in Human Oscillatory Systems: Proceedings of an International Symposium University of Bremen, 8-13 September 1986. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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3

Ludger, Rensing, and Jaeger N. I. 1936-, eds. Temporal order: Proceedings of a Symposium on Oscillations in Heterogeneous Chemical and Biological Systems, University of Bremen, September 17-22, 1984. Berlin: Springer-Verlag, 1985.

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Symposium on Oscillations in Heterogeneous Chemical and Biological Systems 1984 Bremen, Germany). Temporal order: Proceedings of a Symposium on Oscillations in Heterogeneous Chemical and Biological Systems, University of Bremen, September 17-22, 1984. Berlin: Springer Berlin Heidelberg, 1985.

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5

Goswami, Usha, Alan Power, Marie Lallier, and Andrea Facoetti, eds. Oscillatory “Temporal Sampling” and Developmental Dyslexia: Towards an Over-Arching Theoretical Framework. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-439-1.

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6

Shapiro, Kimron, and Simon Hanslmayr. The Role of Brain Oscillations in the Temporal Limits of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.037.

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Attention is the ubiquitous construct referring to the ability of the brain to focus resources on a subset of perceptual input which it is trying to process for a response. Attention has for a long time been studied with reference to its distribution across space where, for example, visual input from an attentionally monitored location is given preference over non-monitored (i.e. attended) locations. More recently, attention has been studied for its ability to select targets from among rapidly, sequentially presented non-targets at a fixed location, e.g. in visual space. The present chapter ex

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7

Nobre, Anna C. (Kia), and Gustavo Rohenkohl. Time for the Fourth Dimension in Attention. Edited by Anna C. (Kia) Nobre and 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

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8

Ludger, Rensing, Heiden, Uwe an der, 1942-, and Mackey Michael C. 1942-, eds. Temporal disorder in human oscillatory systems: Proceedings of an international symposium, University of Bremen, 8-13 September 1986. Berlin: Springer-Verlag, 1987.

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Temporal Disorder in Human Oscillatory Systems: Proceedings of an International Symposium University of Bremen, 8-13 September 1986. Springer, 2012.

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10

Rensing, L. Temporal Disorder in Human Oscillatory Systems: Proceedings of an International Symposium University of Bremen, 8-13 Sept 1986 (Springer Series in Synergetics). Springer, 1987.

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Capítulos de libros sobre el tema "Temporal oscillators"

1

Bélair, J., and L. Glass. "Circle Maps and the Periodic Forcing of Limit Cycle Oscillators." In Temporal Order, 175–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_23.

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Glass, L. "Coupled Oscillators in Health and Disease." In Temporal Disorder in Human Oscillatory Systems, 8–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72637-8_2.

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3

Lagarde, Matthieu, Pierre Andry, and Philippe Gaussier. "The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences." In Lecture Notes in Computer Science, 934–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74690-4_95.

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Kinnmark, Ingemar. "Temporal Oscillations." In Lecture Notes in Engineering, 148–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82646-7_8.

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Jähnig, Fritz. "A Physicist’s Description of Chemical Oscillations." In Temporal Order, 47–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_5.

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Fiedler, Bernold. "Multiplicity-Induced Oscillations in Porous Catalysts." In Temporal Order, 57–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_6.

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Engel-Herbert, H., W. Ebeling, and H. Herzel. "The Influence of Fluctuations on Sustained Oscillations." In Temporal Order, 144–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_20.

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Müller, Stefan C., Theo Plesser, and Benno Hess. "Coupling of Glycolytic Oscillations and Convective Patterns." In Temporal Order, 194–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_26.

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Brown, J. R., G. A. D’Netto, and R. A. Schmitz. "Spatial Effects and Oscillations in Heterogeneous Catalytic Reactions." In Temporal Order, 86–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_11.

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Marek, M. "Periodic and Aperiodic Regimes in Forced Chemical Oscillations." In Temporal Order, 105–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70332-4_15.

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Actas de conferencias sobre el tema "Temporal oscillators"

1

Jankowski, Marc, Alireza Marandi, Chris R. Phillips, Ryan Hamerly, Kirk A. Ingold, Robert L. Byer, and M. M. Fejer. "Femtosecond Temporal Simulton Formation in Optical Parametric Oscillators." In Nonlinear Optics. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/nlo.2017.ntu1b.3.

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Ferre, S., M. Pittman, G. Cheriaux, E. Auge, and J. P. Chambaret. "High dynamic range temporal characterization of femtosecond Ti:sapphire oscillators." In CLEO 2001. Technical Digest. Summaries of papers presented at the Conference on Lasers and Electro-Optics. Postconference Technical Digest. IEEE, 2001. http://dx.doi.org/10.1109/cleo.2001.947442.

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Hongler, M. O., R. Filliger, P. Blanchard, and J. Rodriguez. "Noise induced temporal patterns in populations of globally coupled oscillators." In 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization (INDS). IEEE, 2009. http://dx.doi.org/10.1109/inds.2009.5227997.

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Parra-Rivas, P., L. Gelens, and F. Leo. "Temporal localized structures in doubly resonant dispersive optical parametric oscillators." In Nonlinear Photonics. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/np.2020.nptu1d.7.

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Sekiya, Hiroo, Shinsaku Mori, and Iwao Sasase. "INVESTIGATION OF SPATIO-TEMPORAL PHENOMENA ON CHAOTIC OSCILLATORS USING WIEN-BRIDGE OSCILLATOR COUPLED BY ONE RESISTOR FOR COMPARISON WITH GCM." In Proceedings of the IEEE Workshop. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812792662_0016.

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Kishida, Ryo, Takuya Asuke, Jun Furuta, and Kazutoshi Kobayashil. "Extracting BTI-induced Degradation without Temporal Factors by Using BTI-Sensitive and BTI-Insensitive ring Oscillators." In 2019 IEEE 32nd International Conference on Microelectronic Test Structures (ICMTS). IEEE, 2019. http://dx.doi.org/10.1109/icmts.2019.8730967.

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Naraniya, Om Prakash, M. R. Shenoy, and K. Thyagarajan. "Efficiency improvement in optical parametric oscillators by using pump pulses of optimum temporal and spatial profiles." In 2013 Workshop on Recent Advances in Photonics (WRAP). IEEE, 2013. http://dx.doi.org/10.1109/wrap.2013.6917678.

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Kuroda, Masaharu, and Francis C. Moon. "Local Complexity and Global Nonlinear Modes in Large Arrays of Fluid-Elastic Oscillators." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32752.

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Transition from local complexity to global spatio-temporal dynamics in a two dimensional array of fluid-elastic oscillators is examined experimentally with an apparatus comprising 90–1000 cantilevered rods in a wind tunnel. Wave-like behavior is observed which may be related to soliton solutions in nonlinear arrays of nonlinear oscillators. The 90 to 1000 steel and polycarbonate rods have gap ratios ranging from 1.0 to 2.5. As the Reynolds number (based on rod diameter) increases from 200 to 900, a pattern with characteristics of spatio-temporal chaos emerges in global behavior of the elastic-

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Alessi, D., T. Spinka, S. Betts, V. K. Kanz, R. Sigurdsson, B. Riordan, J. K. Crane, and C. Haefner. "High Dynamic Range Temporal Contrast Measurement and Characterization of Oscillators for Seeding High Energy Petawatt Laser Systems." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/cleo_si.2012.cm4d.5.

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Joo, Han Kyul, and Themistoklis P. Sapsis. "Performance Barriers for Single-Degree-of-Freedom Energy Harvesters Under Generic Stochastic Excitation." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34134.

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We develop performance criteria for the objective comparison of different classes of single-degree-of-freedom oscillators under stochastic excitation. For each family of oscillators, these objective criteria take into account the maximum possible energy harvested for a given response level, which is a quantity that is directly connected to the size of the harvesting configuration. We prove that the derived criteria are invariant with respect to magnitude or temporal rescaling of the input spectrum and they depend only on the relative distribution of energy across different harmonics of the exc

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Informes sobre el tema "Temporal oscillators"

1

Chen, Z., and S. E. Grasby. Detection of decadal and interdecadal oscillations and temporal trend analysis of climate and hydrological time series, Canadian Prairies. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2009. http://dx.doi.org/10.4095/248138.

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