Search results for 'synchrony' (try it on Scholar)

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  1. Satinder P. Gill (2012). Rhythmic Synchrony and Mediated Interaction: Towards a Framework of Rhythm in Embodied Interaction. [REVIEW] AI and Society 27 (1):111-127.score: 18.0
    Our everyday interactions increasingly involve both embodied face-to-face communication and various forms of mediated and distributed communication such as email, skype, and facebook. In daily face-to-face communications, we are connected in rhythm and synchrony at multiple levels ranging from the moment-by-moment continuity of timed syllables to emergent body and vocal rhythms of pragmatic sense-making. Our human capacity to synchronize with each other may be essential for our survival as social beings. Moving our bodies and voices together in time embodies (...)
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  2. Frank van der Velde & Marc de Kamps (2002). Synchrony in the Eye of the Beholder: An Analysis of the Role of Neural Synchronization in Cognitive Processes. [REVIEW] Brain and Mind 3 (3):291-312.score: 18.0
    We discuss the role of synchrony of activationin higher-level cognitive processes. Inparticular, we analyze the question of whethersynchrony of activation provides a mechanismfor compositional representation in neuralsystems. We will argue that synchrony ofactivation does not provide a mechanism forcompositional representation in neural systems.At face value, one can identify a level ofcompositional representation in the models thatintroduce synchrony of activation for thispurpose. But behavior in these models isalways produced by means conjunctiverepresentations in the form of coincidencedetectors. Therefore, models (...)
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  3. Alexander K. Khalil, Victor Minces, Grainne McLoughlin & Andrea Chiba (2013). Group Rhythmic Synchrony and Attention in Children. Frontiers in Psychology 4.score: 18.0
    Synchrony, or the coordinated processing of time, is an often-overlooked yet critical context for human interaction. This study tests the relationship between the ability to synchronize rhythmically in a group setting with the ability to attend in 102 elementary schoolchildren. Impairments in temporal processing have frequently been shown to exist in clinical populations with learning disorders, particularly those with Attention Deficit Hyperactivity Disorder (ADHD). Based on this evidence, we hypothesized that the ability to synchronize rhythmically in a group setting—an (...)
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  4. Cynthia A. Graham (1991). Menstrual Synchrony. Human Nature 2 (4):293-311.score: 18.0
    Several studies have now documented menstrual synchrony in human females. There is a broad consensus that the phenomenon mainly occurs in women who spend a significant amount of time together, such as close friends and coworkers, and that social contact rather than a similar environment plays an important role in mediating the effect. However, the mechanisms involved and the adaptive function of menstrual synchrony are not understood. There is some evidence that olfactory cues between females might underlie the (...)
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  5. Victor A. F. Lamme Michael X. Cohen, Simon van Gaal, K. Richard Ridderinkhof (2009). Unconscious Errors Enhance Prefrontal-Occipital Oscillatory Synchrony. Frontiers in Human Neuroscience 3.score: 18.0
    The medial prefrontal cortex (MFC) is critical for our ability to learn from previous mistakes. Here we provide evidence that neurophysiological oscillatory long-range synchrony is a mechanism of post-error adaptation that occurs even without conscious awareness of the error. During a visually signaled Go/No-Go task in which half of the No-Go cues were masked and thus not consciously perceived, response errors enhanced tonic (i.e., over 1-2 seconds) oscillatory synchrony between MFC and occipital cortex leading up to and during (...)
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  6. Anna Ziomkiewicz (2006). Menstrual Synchrony: Fact or Artifact? [REVIEW] Human Nature 17 (4):419-432.score: 18.0
    Although more than thirty years of intensive investigation have passed since McClintock first published results on menstrual synchrony, there is still no conclusive evidence for the existence of this phenomenon. Indeed, a growing body of nullresult studies, critiques of menstrual synchrony studies, and the lack of convincing evolutionary explanations bring into question the existence of this phenomenon. This paper presents results of a study conducted over five consecutive months in Polish student dormitories. In 18 pairs and 21 triples (...)
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  7. L. Shastri & V. Ajjanagadde (1993). From Simple Associations to Systematic Reasoning: A Connectionist Representation of Rules, Variables, and Dynamic Binding Using Temporal Synchrony. Behavioral and Brain Sciences 16 (3):417-51.score: 15.0
    Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...)
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  8. Franziska Kopp & Claudia Dietrich (2013). Neural Dynamics of Audiovisual Synchrony and Asynchrony Perception in 6-Month-Old Infants. Frontiers in Psychology 4.score: 15.0
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  9. Eric LaRock (2006). Why Neural Synchrony Fails to Explain the Unity of Visual Consciousness. Behavior and Philosophy 34:39-58.score: 12.0
    A central issue in philosophy and neuroscience is the problem of unified visual consciousness. This problem has arisen because we now know that an object's stimulus features (e.g., its color, texture, shape, etc.) generate activity in separate areas of the visual cortex (Felleman & Van Essen, 1991). For example, recent evidence indicates that there are very few, if any, neural connections between specific visual areas, such as those that correlate with color and motion (Bartels & Zeki, 2006; Zeki, 2003). So (...)
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  10. Michael J. Hove (2008). Shared Circuits, Shared Time, and Interpersonal Synchrony. Behavioral and Brain Sciences 31 (1):29-30.score: 12.0
    The shared circuits model (SCM) is a useful explanatory framework that can be applied to interpersonal synchrony by incorporating temporal dynamics. Temporally precise predictive simulations and mirroring enable interpersonal synchrony. When partners' movements are highly synchronous, the self/other distinction can be blurred.
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  11. Eugene Feenberg (1979). Distant Synchrony and the One-Way Velocity of Light. Foundations of Physics 9 (5-6):329-337.score: 12.0
    A number of physical processes and experimental procedures are listed which appear to be inexplicable in the context of the conventionality thesis of Reichenbach and Grünbaum. Distant synchrony can be produced by procedures based on the free displacement or rotation of elastic solids. Results are expected to agree with Einstein's definition of distant synchrony (by means of light signals, assuming isotropy). The one-way velocity of light can be measured using a rotating shaft, slotted disks, and one stationary clock.
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  12. Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2012). DMN Operational Synchrony Relates to Self-Consciousness: Evidence From Patients in Vegetative and Minimally Conscious States. Open Neuroimaging Journal 6:55-68.score: 12.0
    The default mode network (DMN) has been consistently activated across a wide variety of self-related tasks, leading to a proposal of the DMN’s role in self-related processing. Indeed, there is limited fMRI evidence that the functional connectivity within the DMN may underlie a phenomenon referred to as self-awareness. At the same time, none of the known studies have explicitly investigated neuronal functional interactions among brain areas that comprise the DMN as a function of self-consciousness loss. To fill this gap, EEG (...)
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  13. Lokendra Shastri (2006). Comparing the Neural Blackboard and the Temporal Synchrony-Based SHRUTI Architectures. Behavioral and Brain Sciences 29 (1):84-86.score: 12.0
    Contrary to the assertions made in the target article, temporal synchrony, coupled with an appropriate choice of representational primitives, leads to a functionally adequate and neurally plausible architecture that addresses the massiveness of the binding problem, the problem of 2, the problem of variables, and the transformation of activity-based transient representations of events and situations into structure-based persistent encodings of the same.
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  14. Michel le Van Quyen & Antoine Lutz, Comparison of Hilbert Transform and Wavelet Methods for the Analysis of Neuronal Synchrony.score: 12.0
    The quantification of phase synchrony between neuronal signals is of crucial importance for the study of large-scale interactions in the brain. Two methods have been used to date in neuroscience, based on two distinct approaches which permit a direct estimation of the instantaneous phase of a signal [Phys. Rev. Lett. 81 (1998) 3291; Human Brain Mapping 8 (1999) 194]. The phase is either estimated by using the analytic concept of Hilbert transform or, alternatively, by convolution with a complex wavelet. (...)
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  15. Dennis Pozega & Paul Thagard, Neural Synchrony Through Controlled Tracking.score: 12.0
    We present a model for generating a kind of neural synchrony in which the individual spike trains of one neuron or group of neurons closely match the spike trains of another. This kind of neural synchrony has been observed in animals performing auditory, visual and attentional information processing tasks. Our model is realized in a system of functionally identical, refractory spiking neurons. Larger systems with more sophisticated information processing capabilities can be constructed from aggregated instances of the basic (...)
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  16. Ruth Feldman, Linda C. Mayes & James E. Swain (2005). Interaction Synchrony and Neural Circuits Contribute to Shared Intentionality. Behavioral and Brain Sciences 28 (5):697-698.score: 12.0
    In the dyadic and triadic sharing of emotions, intentions, and behaviors in families, interactive synchrony is important to the early life experiences that contribute to the development of cultural cognition. This synchrony likely depends on neurobiological circuits, currently under study with brain imaging, that involve attention, stress response, and memory.
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  17. Peter Weeks (1996). Synchrony Lost, Synchrony Regained: The Achievement of Musical Co-Ordination. [REVIEW] Human Studies 19 (2):199 - 228.score: 12.0
    As part of a series of Ethnomethodological Studies of Work, this paper focusses upon a short stretch of a final concert performance of the Saint-Saens Septet by a set of amateur musicians in which timing errors occur but in response to which various manoeuvres successfully restore synchrony. I set out to demonstrate that these afford a strategic access for ethnomethodologists to sets of musicians' practices whereby musical synchrony is ongoingly accomplished. The central curiosity of this study is the (...)
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  18. Vincenzo Crunelli Stuart W. Hughes, Magor L. Lőrincz, Kate Blethyn, Katalin A. Kékesi, Gábor Juhász, Mark Turmaine, John G. Parnavelas (2011). Thalamic Gap Junctions Control Local Neuronal Synchrony and Influence Macroscopic Oscillation Amplitude During EEG Alpha Rhythms. Frontiers in Psychology 2.score: 12.0
    Although EEG alpha () (8-13 Hz) rhythms are often considered to reflect an ‘idling’ brain state, numerous studies indicate that they are also related to many aspects of perception. Recently, we outlined a potential cellular substrate by which such aspects of perception might be linked to basic  rhythm mechanisms. This scheme relies on a specialized subset of rhythmically bursting thalamocortical (TC) neurons (high-threshold bursting cells) in the lateral geniculate nucleus (LGN) which are interconnected by gap junctions (GJs). By engaging (...)
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  19. Joydeep Bhattacharya Susanne Reiterer, Ernesto Pereda (2011). On a Possible Relationship Between Linguistic Expertise and EEG Gamma Band Phase Synchrony. Frontiers in Psychology 2.score: 12.0
    Recent research has shown that extensive training in and exposure to a second language can modify the language organization in the brain by causing both structural and functional changes. However it is not yet known how these changes are manifested by the dynamic brain oscillations and synchronization patterns subserving the language networks. In search for synchronization correlates of proficiency and expertise in second language acquisition, multivariate EEG signals were recorded from 44 high and low proficiency bilinguals during processing of natural (...)
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  20. Stuart R. Hameroff (2007). The Brain Is Both Neurocomputer and Quantum Computer. Cognitive Science 31 (6):1035-1045.score: 9.0
    _Figure 1. Dendrites and cell bodies of schematic neurons connected by dendritic-dendritic gap junctions form a laterally connected input_ _layer (“dendritic web”) within a neurocomputational architecture. Dendritic web dynamics are temporally coupled to gamma synchrony_ _EEG, and correspond with integration phases of “integrate and fire” cycles. Axonal firings provide input to, and output from, integration_ _phases (only one input, and three output axons are shown). Cell bodies/soma contain nuclei shown as black circles; microtubule networks_ _pervade the cytoplasm. According to the (...)
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  21. Antoine Lutz, Jacques Martinerie, Jean-Philippe Lachaux & Francisco J. Varela (2002). Guiding the Study of Brain Dynamics by Using First- Person Data: Synchrony Patterns Correlate with Ongoing Conscious States During a Simple Visual Task. Proceedings of the National Academy of Sciences of the Usa 99 (3):1586-1591.score: 9.0
    Laboratoire de Neurosciences Cognitives et Imagerie Ce´re´brale (LENA), Hoˆpital de La Salpeˆtrie`re, Centre National de la Recherche Scientifique (CNRS).
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  22. Sean D. Kelly, A Moment to Reflect Upon Perceptual Synchrony.score: 9.0
    & How does neuronal activity bring about the interpretation of visual space in terms of objects or complex perceptual events? If they group, simple visual features can bring about the integration of spikes from neurons responding to different features to within a few milliseconds. Considered as a potential solution to the ‘‘binding problem,’’ it is suggested that neuronal synchronization is the glue for binding together different features of the same object. This idea receives some support from correlated- and periodic-stimulus motion (...)
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  23. Sam M. Doesburg, Keiichi Kitajo & Lawrence M. Ward (2005). Increased Gamma-Band Synchrony Precedes Switching of Conscious Perceptual Objects in Binocular Rivalry. Neuroreport 16 (11):1139-1142.score: 9.0
  24. Eric LaRock (2007). Disambiguation, Binding, and the Unity of Visual Consciousness. Theory and Psychology 17 (6):747-77.score: 9.0
    Recent findings in neuroscience strongly suggest that an object’s features (e.g., its color, texture, shape, etc.) are represented in separate areas of the visual cortex. Although represented in separate neuronal areas, somehow the feature representations are brought together as a single, unified object of visual consciousness. This raises a question of binding: how do neural activities in separate areas of the visual cortex function to produce a feature-unified object of visual consciousness? Several prominent neuroscientists have adopted neural synchrony and (...)
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  25. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2011). Persistent Operational Synchrony Within Brain Default-Mode Network and Self-Processing Operations in Healthy Subjects. Brain and Cognition 75 (2):79-90.score: 9.0
    Based on the theoretical analysis of self-consciousness concepts, we hypothesized that the spatio-temporal pattern of functional connectivity within the default-mode network (DMN) should persist unchanged across a variety of different cognitive tasks or acts, thus being task-unrelated. This supposition is in contrast with current understanding that DMN activated when the subjects are resting and deactivated during any attention-demanding cognitive tasks. To test our proposal, we used, in retrospect, the results from our two early studies ([Fingelkurts, 1998] and [Fingelkurts et al., (...)
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  26. R. C. O'Reilly, R. Busby & R. Soto (2003). Three Forms of Binding and Their Neural Substrates: Alternatives to Temporal Synchrony. In Axel Cleeremans (ed.), The Unity of Consciousness. Oxford University Press. 168--192.score: 9.0
  27. Catherine Tallon-Baudry (2004). Attention and Awareness in Synchrony. Trends in Cognitive Sciences 8 (12):523-525.score: 9.0
  28. Vassilis Sevdalis & Peter E. Keller (2010). Cues for Self-Recognition in Point-Light Displays of Actions Performed in Synchrony with Music. Consciousness and Cognition 19 (2):617-626.score: 9.0
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  29. Nicole Flaig & Edward W. Large (forthcoming). Dynamic Musical Expression of Core Affect. Frontiers in Psychology.score: 9.0
    Is there something special about the way music communicates feelings? Theorists since Meyer (1956) have attempted to explain how music could stimulate varied and subtle affective experiences, for example by violating learned expectancies, or by mimicking other forms of social interaction. Our proposal is that music speaks to the brain in its own language; it need not imitate any other form of communication. We review recent theoretical and empirical literature, which suggests that all conscious processes consist of dynamic neural events, (...)
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  30. Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2013). Prognostic Value of Resting-State EEG Structure in Disentangling Vegetative and Minimally Conscious States: A Preliminary Study. Neurorehabilitation and Neural Repair 27 (4):345-354.score: 9.0
    Background: Patients in a vegetative state pose problems in diagnosis, prognosis and treatment. Currently, no prognostic markers predict the chance of recovery, which has serious consequences, especially in end-of-life decision-making. -/- Objective: We aimed to assess an objective measurement of prognosis using advanced electroencephalography (EEG). -/- Methods: EEG data (19 channels) were collected in 14 patients who were diagnosed to be persistently vegetative based on repeated clinical evaluations at 3 months following brain damage. EEG structure parameters (amplitude, duration and variability (...)
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  31. John F. Magnotti, Wei Ji Ma & Michael S. Beauchamp (2013). Causal Inference of Asynchronous Audiovisual Speech. Frontiers in Psychology 4.score: 9.0
    During speech perception, humans integrate auditory information from the voice with visual information from the face. This multisensory integration increases perceptual precision, but only if the two cues come from the same talker; this requirement has been largely ignored by current models of speech perception. We describe a generative model of multisensory speech perception that includes this critical step of determining the likelihood that the voice and face information have a common cause. A key feature of the model is that (...)
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  32. Susan Pockett & Mark D. Holmes (2009). Intracranial EEG Power Spectra and Phase Synchrony During Consciousness and Unconsciousness. Consciousness and Cognition 18 (4):1049-1055.score: 9.0
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  33. S. Vanni (1999). Neural Synchrony and Dynamic Connectivity. Consciousness and Cognition 8 (2):159-163.score: 9.0
  34. Jean Vroomen & Jeroen J. Stekelenburg (2011). Perception of Intersensory Synchrony in Audiovisual Speech: Not That Special. Cognition 118 (1):75-83.score: 9.0
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  35. Politi A. (2008). Measuring Multivariate Spike Train Synchrony. Frontiers in Human Neuroscience 2.score: 9.0
  36. William S. Bush & Hava T. Siegelmann (2007). Circadian Synchrony in Networks of Protein Rhythm Driven Neurons. Complexity 12 (6):46-46.score: 9.0
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  37. Cirelli Laura, Einarson Kathleen, Lade Sarah & Trainor Laurel (2013). Interpersonal Motor Synchrony to a Musical Beat as a Cue for Social Cohesion During Infancy. Frontiers in Human Neuroscience 7.score: 9.0
  38. Mark A. Elliott Anne Giersch, Laurence Lalanne, Mitsouko van Assche (2013). On Disturbed Time Continuity in Schizophrenia: An Elementary Impairment in Visual Perception? Frontiers in Psychology 4.score: 9.0
    Schizophrenia is associated with a series of visual perception impairments, which might impact on the patients’ every day life and be related to clinical symptoms. However, the heterogeneity of the visual disorders make it a challenge to understand both the mechanisms and the consequences of these impairments, i.e. the way patients experience the outer world. Based on earlier psychiatry literature, we argue that issues regarding time might shed a new light on the disorders observed in patients with schizophrenia. We will (...)
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  39. Stephen Cooper (2002). Minimally Disturbed, Multicycle, and Reproducible Synchrony Using a Eukaryotic ?Baby Machine? Bioessays 24 (6):499-501.score: 9.0
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  40. Rick Dale, Riccardo Fusaroli, Dorthe Døjbak Håkonsson, Patrick Healey, Dan Mønster, John J. McGraw, Panagiotis Mitkidis & Kristian Tylén (forthcoming). Beyond Synchrony: Complementarity and Asynchrony in Joint Action. Cognitive Science.score: 9.0
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  41. Brian Ellis (1978). Is Signal Synchrony Independent of Transport Synchrony? Philosophy of Science 45 (2):309-311.score: 9.0
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  42. Pila Gordon (2011). Higher Order Spike Synchrony in Prefrontal Cortex During Visual Memory. Frontiers in Human Neuroscience 5.score: 9.0
  43. Stephen Grossberg (1993). Self-Organizing Neural Models of Categorization, Inference and Synchrony. Behavioral and Brain Sciences 16 (3):460.score: 9.0
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  44. Riitta Hari, Tommi Himberg, Lauri Nummenmaa, Matti Hämäläinen & Lauri Parkkonen (2013). Synchrony of Brains and Bodies During Implicit Interpersonal Interaction. Trends in Cognitive Sciences 17 (3):105-106.score: 9.0
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  45. Susanne Maria Reiterer, Ernesto Pereda & Joydeep Bhattacharya (2011). On a Possible Relationship Between Linguistic Expertise and EEG Gamma Band Phase Synchrony. Frontiers in Psychology 2:334.score: 9.0
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  46. Yi-Huang Su (2014). Peak Velocity as a Cue in Audiovisual Synchrony Perception of Rhythmic Stimuli. Cognition 131 (3):330-344.score: 9.0
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  47. Zhengwei Yang & Jeffrey C. Schank (2006). Women Do Not Synchronize Their Menstrual Cycles. Human Nature 17 (4):433-447.score: 9.0
    It is widely believed that women who live together or who are close friends synchronize their menstrual cycles. We reexamined this phenomenon in two ways. First, we collected data on menstrual cycles from 186 Chinese women living in dorms for over a year. We found that women living in groups did not synchronize their cycles. Second, we reviewed the first study reporting menstrual synchrony. We found that group synchrony in that study was at the level of chance. We (...)
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  48. F. Aiple & B. Fischer (1989). Synchrony of Spikes and Attention in Visual Cortex. Behavioral and Brain Sciences 12 (3):397.score: 9.0
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  49. Daffertshofer A. (2008). Modulation of Beta-Range Oscillatory Synchrony as a Mechanism for Response Selection. Frontiers in Human Neuroscience 2.score: 9.0
  50. Jean-Louis Benoît (2008). Reading Tocqueville : Diachrony, Synchrony, Ideology and New Perspectives. In Raf Geenens & Annelien de Dijn (eds.), Reading Tocqueville: From Oracle to Actor. Palgrave Macmillan.score: 9.0
     
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