Results for ' neural oscillations'

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  1. Neural Oscillations as Representations.Manolo Martínez & Marc Artiga - 2023 - British Journal for the Philosophy of Science 74 (3):619-648.
    We explore the contribution made by oscillatory, synchronous neural activity to representation in the brain. We closely examine six prominent examples of brain function in which neural oscillations play a central role, and identify two levels of involvement that these oscillations take in the emergence of representations: enabling (when oscillations help to establish a communication channel between sender and receiver, or are causally involved in triggering a representation) and properly representational (when oscillations are a (...)
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  2.  42
    Understanding Neural Oscillations in the Human Brain: From Movement to Consciousness and Vice Versa.Ana Maria Cebolla & Guy Cheron - 2019 - Frontiers in Psychology 10.
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  3.  20
    Neural Oscillations in Speech: Don't be Enslaved by the Envelope.Jonas Obleser, Björn Herrmann & Molly J. Henry - 2012 - Frontiers in Human Neuroscience 6.
  4. Synchronous neural oscillations and cognitive processes.Leo R. Ward - 2003 - Trends in Cognitive Sciences 7:553-559.
  5.  12
    Synchronous Neural Oscillation Between the Right Inferior Fronto-Parietal Cortices Contributes to Body Awareness.Naoyuki Takeuchi, Tamami Sudo, Yutaka Oouchida, Takayuki Mori & Shin-Ichi Izumi - 2019 - Frontiers in Human Neuroscience 13.
  6.  69
    Neural Oscillations Associated With Auditory Duration Maintenance in Working Memory in Tasks With Controlled Difficulty.Xiaolin Yu, Youguo Chen, Ting Luo & Xiting Huang - 2020 - Frontiers in Psychology 11.
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  7.  18
    Neural Oscillations and the Initiation of Voluntary Movement.Samuel Armstrong, Martin V. Sale & Ross Cunnington - 2018 - Frontiers in Psychology 9.
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    Editorial: Neural oscillations in physiology and neuropsychiatric disorders.Shozo Tobimatsu - 2022 - Frontiers in Human Neuroscience 16.
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  9.  52
    Working memory and neural oscillations: alpha–gamma versus theta–gamma codes for distinct WM information?Frédéric Roux & Peter J. Uhlhaas - 2014 - Trends in Cognitive Sciences 18 (1):16-25.
  10.  13
    Neural Oscillation Profiles of a Premise Monotonicity Effect During Semantic Category-Based Induction.Mingze Sun, Feng Xiao & Changquan Long - 2019 - Frontiers in Human Neuroscience 13.
  11. Neural oscillations.Xiao‐Jing Wang - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
  12. The Functional Role of Neural Oscillations in Non-Verbal Emotional Communication.Ashley E. Symons, Wael El-Deredy, Michael Schwartze & Sonja A. Kotz - 2016 - Frontiers in Human Neuroscience 10.
  13.  11
    High-frequency neural oscillations and visual processing deficits in schizophrenia.Heng-Ru May Tan, Luiz Lana & Peter J. Uhlhaas - 2013 - Frontiers in Psychology 4.
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  14.  10
    How many neural oscillators we need on sub- and supra-second intervals processing in the primate brain.Lihan Chen - 2014 - Frontiers in Psychology 5.
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  15.  39
    Fractal Cognitive Triad: The Theoretical Connection between Subjective Experience and Neural Oscillations.Justin M. Riddle - 2015 - Cosmos and History 11 (2):130-145.
    It has long been appreciated that the brain is oscillatory 1. Early measurements of brain electrophysiology revealed rhythmic synchronization unifying large swaths of the brain. The study of neural oscillation has enveloped cognitive neuroscience and neural systems. The traditional belief that oscillations are epiphenomenal of neuron spiking is being challenged by intracellular oscillations and the theoretical backing that oscillatory activity is fundamental to physics. Subjective experience oscillates at three particular frequency bands in a cognitive triad: perception (...)
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  16.  46
    Rhythms of the body, rhythms of the brain: Respiration, neural oscillations, and embodied cognition.Somogy Varga & Detlef H. Heck - 2017 - Consciousness and Cognition 56:77-90.
  17.  6
    Phase-Dependent Modulation of Signal Transmission in Cortical Networks through tACS-Induced Neural Oscillations.Kristoffer D. Fehér, Masahito Nakataki & Yosuke Morishima - 2017 - Frontiers in Human Neuroscience 11.
  18. Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators.Jacob H. Young, Martha E. Arterberry & Joshua P. Martin - 2021 - Frontiers in Human Neuroscience 15.
    Meditation is an umbrella term for a number of mental training practices designed to improve the monitoring and regulation of attention and emotion. Some forms of meditation are now being used for clinical intervention. To accompany the increased clinical interest in meditation, research investigating the neural basis of these practices is needed. A central hypothesis of contemplative neuroscience is that meditative states, which are unique on a phenomenological level, differ on a neurophysiological level. To identify the electrophysiological correlates of (...)
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  19.  4
    Binding Mechanisms in Visual Perception and Their Link With Neural Oscillations: A Review of Evidence From tACS. [REVIEW]Andrea Ghiani, Marcello Maniglia, Luca Battaglini, David Melcher & Luca Ronconi - 2021 - Frontiers in Psychology 12.
    Neurophysiological studies in humans employing magneto- and electro- encephalography increasingly suggest that oscillatory rhythmic activity of the brain may be a core mechanism for binding sensory information across space, time, and object features to generate a unified perceptual representation. To distinguish whether oscillatory activity is causally related to binding processes or whether, on the contrary, it is a mere epiphenomenon, one possibility is to employ neuromodulatory techniques such as transcranial alternating current stimulation. tACS has seen a rising interest due to (...)
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  20.  28
    Neural mechanism for the magical number 4: Competitive interactions and nonlinear oscillation.Marius Usher, Jonathan D. Cohen, Henk Haarmann & David Horn - 2001 - Behavioral and Brain Sciences 24 (1):151-152.
    The aim of our commentary is to strengthen Cowan's proposal for an inherent capacity limitation in STM by suggesting a neurobiological mechanism based on competitive networks and nonlinear oscillations that avoids some of the shortcomings of the scheme discussed in the target article (Lisman & Idiart 1995).
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  21.  13
    Neural Consequences of Increasing Body Weight: Evidence from Somatosensory Evoked Potentials and the Frequency-Specificity of Brain Oscillations.Olivia Lhomond, Normand Teasdale, Martin Simoneau & Laurence Mouchnino - 2016 - Frontiers in Human Neuroscience 10.
  22.  25
    Hearing loss impacts neural alpha oscillations under adverse listening conditions.Eline B. Petersen, Malte Wã¶Stmann, Jonas Obleser, Stefan Stenfelt & Thomas Lunner - 2015 - Frontiers in Psychology 6.
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  23.  11
    Gamma-range oscillations in backward-masking functions and their putative neural correlates.Gopathy Purushothaman, Haluk Öğmen & Harold E. Bedell - 2000 - Psychological Review 107 (3):556-577.
  24.  33
    Deconstruction of neural data yields biologically implausible periodic oscillations.Walter J. Freeman - 1993 - Behavioral and Brain Sciences 16 (3):458-459.
  25.  10
    Theta Oscillations and Source Connectivity During Complex Audiovisual Object Encoding in Working Memory.Yuanjun Xie, Yanyan Li, Haidan Duan, Xiliang Xu, Wenmo Zhang & Peng Fang - 2021 - Frontiers in Human Neuroscience 15:614950.
    Working memory is a limited capacity memory system that involves the short-term storage and processing of information. Neuroscientific studies of working memory have mostly focused on the essential roles of neural oscillations during item encoding from single sensory modalities (e.g., visual and auditory). However, the characteristics of neural oscillations during multisensory encoding in working memory are rarely studied. Our study investigated the oscillation characteristics of neural signals in scalp electrodes and mapped functional brain connectivity while (...)
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  26. Neural phase: a new problem for the modal account of epistemic luck.Adam Michael Bricker - 2019 - Synthese (8):1-18.
    One of the most widely recognised intuitions about knowledge is that knowing precludes believing truly as a matter of luck. On Pritchard’s highly influential modal account of epistemic luck, luckily true beliefs are, roughly, those for which there are many close possible worlds in which the same belief formed in the same way is false. My aim is to introduce a new challenge to this account. Starting from the observation—as documented by a number of recent EEG studies—that our capacity to (...)
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  27. Hardware Implementation-Effect of Steady and Relaxation Oscillations in Brillouin-Active Fiber Structural Sensor Based Neural Network in Smart Structures.Yong-Kab Kim, Soonja Lim & ChangKug Kim - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 3973--1374.
  28.  28
    The neural basis of event-time introspection.Adrian G. Guggisberg, Sarang S. Dalal, Armin Schnider & Srikantan S. Nagarajan - 2011 - Consciousness and Cognition 20 (4):1899-1915.
    We explored the neural mechanisms allowing humans to report the subjective onset times of conscious events. Magnetoencephalographic recordings of neural oscillations were obtained while human subjects introspected the timing of sensory, intentional, and motor events during a forced choice task. Brain activity was reconstructed with high spatio-temporal resolution. Event-time introspection was associated with specific neural activity at the time of subjective event onset which was spatially distinct from activity induced by the event itself. Different brain regions (...)
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  29.  30
    Synchronizing oscillations: Coding by concurrence and by sequence.V. G. Haase & L. F. M. Diniz - 1997 - Behavioral and Brain Sciences 20 (4):690-690.
    Synchronizing oscillations may be just one case of integration and/or coding, one which explains associations by concurrence. Understanding the sequencing of neural/behavioral events requires a clock mechanism that imposes structure behind mere associations, and may be best served by dissociating oscillations and synchronization in terms of physiologic and computational mechanisms.
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  30.  16
    Rhythmic Neural Patterns During Empathy to Vicarious Pain: Beyond the Affective-Cognitive Empathy Dichotomy.Niloufar Zebarjadi, Eliyahu Adler, Annika Kluge, Iiro P. Jääskeläinen, Mikko Sams & Jonathan Levy - 2021 - Frontiers in Human Neuroscience 15:708107.
    Empathy is often split into an affective facet for embodied simulation or sometimes sensorial processing, and a cognitive facet for mentalizing and perspective-taking. However, a recent neurophenomenological framework proposes a graded view on empathy (i.e., “Graded Empathy”) that extends this dichotomy and considers multiple levels while integrating complex neural patterns and representations of subjective experience. In the current magnetoencephalography study, we conducted a multidimensional investigation of neural oscillatory modulations and their cortical sources in 44 subjects while observing stimuli (...)
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  31.  5
    Gamma Oscillations in the Temporal Pole Reflect the Contribution of Approach and Avoidance Motivational Systems to the Processing of Fear and Anger Words.Gerardo Santaniello, Pilar Ferré, Alberto Sanchez-Carmona, Daniel Huete-Pérez, Jacobo Albert & José A. Hinojosa - 2022 - Frontiers in Psychology 12.
    Prior reports suggest that affective effects in visual word processing cannot be fully explained by a dimensional perspective of emotions based on valence and arousal. In the current study, we focused on the contribution of approach and avoidance motivational systems that are related to different action components to the processing of emotional words. To this aim, we compared frontal alpha asymmetries and brain oscillations elicited by anger words associated with approach motivational tendencies, and fear words that may trigger either (...)
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  32. Neural Synchrony and the Causal Efficacy of Consciousness.David Yates - 2020 - Topoi 39 (5):1057-1072.
    The purpose of this paper is to address a well-known dilemma for physicalism. If mental properties are type identical to physical properties, then their causal efficacy is secure, but at the cost of ruling out mentality in creatures very different to ourselves. On the other hand, if mental properties are multiply realizable, then all kinds of creatures can instantiate them, but then they seem to be causally redundant. The causal exclusion problem depends on the widely held principle that realized properties (...)
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  33. Temporal binding and the neural correlates of sensory awareness.Andreas K. Engel & Wolf Singer - 2001 - Trends in Cognitive Sciences 5 (1):16-25.
    Theories of binding have recently come into the focus of the consciousness debate. In this review, we discuss the potential relevance of temporal binding mechanisms for sensory awareness. Specifically, we suggest that neural synchrony with a precision in the millisecond range may be crucial for conscious processing, and may be involved in arousal, perceptual integration, attentional selection and working memory. Recent evidence from both animal and human studies demonstrates that specific changes in neuronal synchrony occur during all of these (...)
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  34.  52
    Subthalamic high-beta oscillation informs the outcome of deep brain stimulation in patients with Parkinson's disease.Po-Lin Chen, Yi-Chieh Chen, Po-Hsun Tu, Tzu-Chi Liu, Min-Chi Chen, Hau-Tieng Wu, Mun-Chun Yeap, Chih-Hua Yeh, Chin-Song Lu & Chiung-Chu Chen - 2022 - Frontiers in Human Neuroscience 16:958521.
    BackgroundThe therapeutic effect of deep brain stimulation (DBS) of the subthalamic nucleus (STN) for Parkinson's disease (PD) is related to the modulation of pathological neural activities, particularly the synchronization in the β band (13–35 Hz). However, whether the local β activity in the STN region can directly predict the stimulation outcome remains unclear.ObjectiveWe tested the hypothesis that low-β (13–20 Hz) and/or high-β (20–35 Hz) band activities recorded from the STN region can predict DBS efficacy.MethodsLocal field potentials (LFPs) were recorded (...)
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  35.  11
    Gamma-Band Synchronous Oscillations: Recent Evidence Regarding Their Functional Significance.Kevin Sauvé - 1999 - Consciousness and Cognition 8 (2):213-224.
    How do our brains represent distinct objects in consciousness? In order to consciously distinguish between objects, our brains somehow selectively bind together activity patterns of spatially intermingled neurons that simultaneously represent similar and dissimilar features of distinct objects. Gamma-band synchronous oscillations of neuroelectrical activity have been hypothesized to be a mechanism used by our brains to generate and bind conscious sensations to represent distinct objects. Most experiments relating GSO to specific features of consciousness have been published only in the (...)
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  36.  18
    Distributed neural substrates and the evolution of speech production.Asif A. Ghazanfar & Donald B. Katz - 1998 - Behavioral and Brain Sciences 21 (4):516-517.
    There is evidence of reciprocal connectivity, similarity of oscillatory responses to stimulation of multiple motor and somatosensory cortices, whole system oscillation, and short- latency responses to behavioral perturbation. These suggest that frame/content may be instantiated by overlapping neural populations, and that the genesis of frame oscillations may be profitably thought of as an emergent property of a distributed neural system.
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  37.  11
    Neural Suppression Elicited During Motor Imagery Following the Observation of Biological Motion From Point-Light Walker Stimuli.Alice Grazia, Michael Wimmer, Gernot R. Müller-Putz & Selina C. Wriessnegger - 2022 - Frontiers in Human Neuroscience 15.
    Introduction: Advantageous effects of biological motion detection, a low-perceptual mechanism that allows the rapid recognition and understanding of spatiotemporal characteristics of movement via salient kinematics information, can be amplified when combined with motor imagery, i.e., the mental simulation of motor acts. According to Jeannerod’s neurostimulation theory, asynchronous firing and reduction of mu and beta rhythm oscillations, referred to as suppression over the sensorimotor area, are sensitive to both MI and action observation of BM. Yet, not many studies investigated the (...)
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  38.  14
    Frontal Theta Oscillation as a Mechanism for Implicit Gender Stereotype Control: Electrophysiological Evidence From an Extrinsic Affective Simon Task.Lei Jia, Mengru Cheng, Billy Sung, Cheng Wang, Jun Wang & Feiming Li - 2020 - Frontiers in Human Neuroscience 14.
    Previous research has indicated that frontal midline theta reflects a domain-general cognitive control mechanism of the prefrontal cortex. Brain imaging studies have shown that the inhibition of implicit stereotypes was dependent on this domain-general cognitive control mechanism. Based on this knowledge, the present study investigated the neural oscillatory correlates of implicit gender stereotype control in an extrinsic affective Simon task using electrophysiological methods. Participants in this task conducted verification to white gender names and colored gender traits, and their behavioral (...)
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  39.  10
    Surface-Based Spontaneous Oscillation in Schizophrenia: A Resting-State Functional Magnetic Resonance Imaging Study.Xianyu Cao, Huan Huang, Bei Zhang, Yuchao Jiang, Hui He, Mingjun Duan, Sisi Jiang, Ying Tan, Dezhong Yao, Chao Li & Cheng Luo - 2021 - Frontiers in Human Neuroscience 15.
    Schizophrenia is considered as a self-disorder with disordered local synchronous activation. Previous studies have reported widespread dyssynchrony of local activation in patients with SZ, which may be one of the crucial physiological mechanisms of SZ. To further verify this assumption, this work used a surface-based two-dimensional regional homogeneity approach to compare the local neural synchronous spontaneous oscillation between patients with SZ and healthy controls, instead of the volume-based regional homogeneity approach described in previous study. Ninety-seven SZ patients and 126 (...)
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  40.  51
    Neural constraints on cognition in sleep.Helene Sophrin Porte - 2000 - Behavioral and Brain Sciences 23 (6):994-995.
    Certain features of Stage NREM sleep – for example, rhythmic voltage oscillation in thalamic neurons – are physiologically inhospitable to “REM sleep processes.” In Stage 2, the sleep spindle and its refractory period must limit the incursion of “covert REM,” and thus the extent of REM-like cognition. If these hyperpolarization-dependent events also inform Stage NREM cognition, does a “1-gen” model suffice to account for REM-NREM differences? [Nielsen].
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    Layers of human brain activity: a functional model based on the default mode network and slow oscillations.Ravinder Jerath & Molly W. Crawford - 2015 - Frontiers in Human Neuroscience 9:1-5.
    The complex activity of the human brain makes it difficult to get a big picture of how the brain works and functions as the mind. We examine pertinent studies, as well as evolutionary and embryologic evidence to support our theoretical model consisting of separate but interactive layers of human neural activity. The most basic layer involves default mode network (DMN)activity and cardiorespiratory oscillations. We propose that these oscillations support other neural activity and cognitive processes. The second (...)
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  42.  8
    Frequency- and Area-Specific Phase Entrainment of Intrinsic Cortical Oscillations by Repetitive Transcranial Magnetic Stimulation.Yuka O. Okazaki, Yumi Nakagawa, Yuji Mizuno, Takashi Hanakawa & Keiichi Kitajo - 2021 - Frontiers in Human Neuroscience 15.
    Synchronous oscillations are ubiquitous throughout the cortex, but the frequency of oscillations differs from area to area. To elucidate the mechanistic architectures underlying various rhythmic activities, we tested whether spontaneous neural oscillations in different local cortical areas and large-scale networks can be phase-entrained by direct perturbation with distinct frequencies of repetitive transcranial magnetic stimulation. While recording the electroencephalogram, we applied single-pulse TMS and rTMS at 5, 11, and 23 Hz over the motor or visual cortex. We (...)
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  43.  6
    The Control of Movements via Motor Gamma Oscillations.José Luis Ulloa - 2022 - Frontiers in Human Neuroscience 15.
    The ability to perform movements is vital for our daily life. Our actions are embedded in a complex environment where we need to deal efficiently in the face of unforeseen events. Neural oscillations play an important role in basic sensorimotor processes related to the execution and preparation of movements. In this review, I will describe the state of the art regarding the role of motor gamma oscillations in the control of movements. Experimental evidence from electrophysiological studies has (...)
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  44.  39
    Homogeneous neural networks cannot provide complex cognitive functions.Alexey M. Ivanitsky & Andrey R. Nikolaev - 1999 - Behavioral and Brain Sciences 22 (2):293-293.
    Within the Hebbian paradigm the mechanism for integrating cell assemblies oscillating with different frequencies remains unclear. We hypothesize that such an integration may occur in cortical “interaction foci” that unite synchronously oscillated assemblies through hard-wired connections, synthesizing the information from various functional systems of the brain.
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  45.  57
    Synchronization of neural activity and information processing.Roman Borisyuk, Galina Borisyuk & Yakov Kazanovich - 1998 - Behavioral and Brain Sciences 21 (6):833-833.
    Synchronization of neural activity in oscillatory neural networks is a general principle of information processing in the brain at both preattentional and attentional levels. This is confirmed by a model of attention based on an oscillatory neural network with a central element and models of feature binding and working memory based on multi-frequency oscillations.
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  46. Processing of sub- and supra-second intervals in the primate brain results from the calibration of neuronal oscillators via sensory, motor, and feedback processes.Daya S. Gupta - 2014 - Frontiers in Psychology 5.
    The processing of time intervals in the sub- to supra-second range by the brain is critical for the interaction of primates with their surroundings in activities, such as foraging and hunting. For an accurate processing of time intervals by the brain, representation of physical time within neuronal circuits is necessary. I propose that time dimension of the physical surrounding is represented in the brain by different types of neuronal oscillators, generating spikes or spike bursts at regular intervals. The proposed oscillators (...)
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  47.  7
    Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems.Dongbao Jia, Cunhua Li, Qun Liu, Qin Yu, Xiangsheng Meng, Zhaoman Zhong, Xinxin Ban & Nizhuan Wang - 2021 - Complexity 2021:1-7.
    Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the treatment of brain diseases and other fields. However, due to the low accuracy of the current analysis methods for low frequency signal extraction of ALFF, we propose the Fourier-based synchrosqueezing transform, which is often used in the field of signal processing to extract the (...)
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  48.  20
    Perceptual retouch theory derived modeling of interactions in the processing of successive visual objects for consciousness: Two-stage synchronization of neuronal oscillators.Toomas Kirt & Talis Bachmann - 2013 - Consciousness and Cognition 22 (1):330-347.
    We introduce a new version of the perceptual retouch model. This model was used for explaining properties of temporal interaction of successive objects in reaching conscious representation. The new model incorporates two interactive binding operations – binding features for objects and binding the bound feature-objects with a large scale oscillatory system that corresponds to perceptual consciousness. Here, the typical result of masking experiments – second object advantage in conscious perception – is achieved by applying the effects of a common synchronizing (...)
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  49.  93
    Searching for the switch: Neural bases for perceptual rivalry alternations. [REVIEW]John D. Pettigrew - 2001 - Brain and Mind 2 (1):85-118.
    A midbrain neural basis for the perceptualoscillations of binocular rivalry is suggestedon the basis of fMRI studies of rivalry andinferences from the properties of rivalry thatcannot be explained from the known propertiesof primary visual cortical (V1) neurons. Therivalry switch is proposed to activatehomologous areas of each cerebral hemispherealternately, by means of a bistable oscillatorcircuit that straddles the midline of theventral tegmentum. This bistable oscillatoroperates at the same slow rate that ischaracteristic of perceptual rivalryalternations. Whilst attempting to divert thepresent preoccupation (...)
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  50. In search of a neural signature of consciousness: Facts, hypotheses, and proposals.Roman Bauer - 2004 - Synthese 141 (2):233-45.
    Evolution leads to more and more complex structures, e.g., molecules, cells and organisms. By means of such structures elementary dynamic bio-electrical fields originate in single cells. They further develop into neurons with neuronal fields, and these combine and integrate in brains into global neuro-electrical fields (NEF) as a medium for the fast representation of outer stimuli. The present hypothesis proposes a specific state of the global NEF in brains as the signature of consciousness. This NEF changes periodically between two states, (...)
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