Search results for '*Electrophysiology' (try it on Scholar)

52 found
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  1.  31
    Morten Overgaard, Mika Koivisto, Thomas Alrik Sorensen, Signe Vangkilde & Antti Revonsuo (2006). The Electrophysiology of Introspection. Consciousness and Cognition 15 (4):662-672.
    To study whether the distinction between introspective and non-introspective states of mind is an empirical reality or merely a conceptual distinction, we measured event-related potentials elicited in introspective and non-introspective instruction conditions while the observers were trying to detect the presence of a masked stimulus. The ERPs indicated measurable differences related to introspection in both preconscious and conscious processes. Our data support the hypothesis that introspective states empirically differ from non-introspective states.
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  2.  2
    Colin Phillips (2001). Levels of Representation in the Electrophysiology of Speech Perception. Cognitive Science 25 (5):711-731.
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  3.  16
    Marta Kutas & Kara D. Federmeier (2000). Electrophysiology Reveals Semantic Memory Use in Language Comprehension. Trends in Cognitive Sciences 4 (12):463-470.
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  4.  8
    Joshua Jacobs & Michael J. Kahana (2010). Direct Brain Recordings Fuel Advances in Cognitive Electrophysiology. Trends in Cognitive Sciences 14 (4):162-171.
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  5.  12
    Bruno Rossion (2014). Understanding Face Perception by Means of Human Electrophysiology. Trends in Cognitive Sciences 18 (6):310-318.
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  6.  11
    Susan Pockett (1999). Anesthesia and the Electrophysiology of Auditory Consciousness. Consciousness and Cognition 8 (1):45-61.
    Empirical work is reviewed which correlates the presence or absence of various parts of the auditory evoked potential with the disappearance and reemergence of auditory sensation during induction of and recovery from anesthesia. As a result, the hypothesis is generated that the electrophysiological correlate of auditory sensation is whatever neural activity generates the middle latency waves of the auditory evoked potential. This activity occurs from 20 to 80 ms poststimulus in the primary and secondary areas of the auditory cortex. Evidence (...)
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  7.  46
    Martin Eimer, Angelo Maravita, Jose Van Velzen, Masud Husain & Jon Driver (2002). The Electrophysiology of Tactile Extinction: ERP Correlates of Unconscious Somatosensory Processing. Neuropsychologia 40 (13):2438-2447.
  8.  8
    Matthew F. S. Rushworth & Adrian M. Owen (1998). The Functional Organization of the Lateral Frontal Cortex: Conjecture or Conjuncture in the Electrophysiology Literature? Trends in Cognitive Sciences 2 (2):46-53.
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  9.  3
    Martin Eimer (2004). Electrophysiology of Human Crossmodal Spatial Attention. In Charles Spence & Jon Driver (eds.), Crossmodal Space and Crossmodal Attention. OUP Oxford
  10.  4
    Jennifer Coull (1997). Functional Neuroimaging: Current Developments in PET, fMRI and Electrophysiology. Trends in Cognitive Sciences 1 (5):161-162.
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  11. C. H. Vanderwolf (1985). Nineteenth-Century Psychology and Twentieth-Century Electrophysiology Do Not Mix. Behavioral and Brain Sciences 8 (4):555.
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  12.  7
    Joshua Jacobs and Michael J. Kahana (2010). Direct Brain Recordings Fuel Advances in Cognitive Electrophysiology. Trends in Cognitive Sciences 14 (4):162.
  13.  6
    Christoph Bledowski, David E. J. Linden & Michael Wibral (2007). Combining Electrophysiology and Functional Imaging – Different Methods for Different Questions. Trends in Cognitive Sciences 11 (12):500-502.
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  14.  2
    Gerald S. Wasserman (1994). The Localization/Distribution Distinction in Neuropsychology is Related to the Isomorphism/Multiple Meaning Distinction in Cell Electrophysiology. Behavioral and Brain Sciences 17 (1):87.
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  15.  1
    Risto Näätänen, Kimmo Alho & Erich Schröger (2002). Electrophysiology of Attention. In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley
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  16. Jennifer Coull (1997). Functional Neuroimaging: Current Developments in PET, fMRI and Electrophysiology: 3rd International Conference on Functional Mapping of the Human Brain, 20–23 May 1997, Copenhagen, Denmark. [REVIEW] Trends in Cognitive Sciences 1 (5):161-162.
     
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  17. G. DeAngelis (2004). Bridging the Gap Between Neural Activity and Visual Perception by Using Electrophysiology in Trained Monkeys. In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell Publishing 52-52.
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  18. Michael D. Rugg & Michael G. H. Coles (eds.) (1996). Electrophysiology of Mind: Event-Related Brain Potentials and Cognition. Oxford University Press Uk.
    This splendid volume reviews a productive period of research aimed at connecting brain and mind through the use of scalp- recorded brain potentials to chart the temporal course of information processing in the human brain.... The book that Rugg, Coles, and their collaborators have produced can serve both as a summary of where we have been and as a pointer of the way ahead." M Posner Event-related potential methodology has long been used in neuroscience to measure electrical activity in the (...)
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  19. J. C. Eccles (1970). Alexander Forbes and His Achievement in Electrophysiology. Perspectives in Biology and Medicine 13 (3):388-404.
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  20. Robert Freedman (1979). Electrophysiology is Not Sufficient to Determine Neuromodulatory Function. Behavioral and Brain Sciences 2 (3):425-426.
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  21. J. Hopfinger (2005). Electrophysiology of Reflexive Attention. In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press 219--235.
     
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  22. A. Lansner (1986). Wilfrid Rall: Electrophysiology of a Dendritic Neuron Model. In G. Palm & A. Aertsen (eds.), Brain Theory. Springer 249--251.
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  23. A. J. Marcel (1988). Electrophysiology and Meaning in Cognitive Science and Dynamic Psychology: Comments on 'Unconscious Conflict: A Convergent Psychodynamic and Electrophysiological Approach'. In M. J. Horowitz (ed.), Psychodynamics and Cognition. University of Chicago Press 169--190.
  24.  22
    John Bickle (2015). Marr and Reductionism. Topics in Cognitive Science 7 (2):299-311.
    David Marr's three-level method for completely understanding a cognitive system and the importance he attaches to the computational level are so familiar as to scarcely need repeating. Fewer seem to recognize that Marr defends his famous method by criticizing the “reductionistic approach.” This sets up a more interesting relationship between Marr and reductionism than is usually acknowledged. I argue that Marr was correct in his criticism of the reductionists of his time—they were only describing, not explaining. But a careful metascientific (...)
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  25.  22
    Mika Koivisto, Antti Revonsuo & Minna Lehtonen (2006). Independence of Visual Awareness From the Scope of Attention: An Electrophysiological Study. Cerebral Cortex 16 (3):415-424.
  26.  13
    Daniel A. Hackman & Martha J. Farah (2009). Socioeconomic Status and the Developing Brain. Trends in Cognitive Sciences 13 (2):65.
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  27.  17
    Satu Palva, Klaus Linkenkaer-Hansen, Risto Näätänen & J. Matias Palva (2005). Early Neural Correlates of Conscious Somatosensory Perception. Journal of Neuroscience 25 (21):5248-5258.
  28.  29
    Mika Koivisto & Antti Revonsuo (2003). An ERP Study of Change Detection, Change Blindness, and Visual Awareness. Psychophysiology 40 (3):423-429.
  29. S. Makeig, T. Jung & Terrence J. Sejnowski (2000). Awareness During Drowsiness: Dynamics and Electrophysiological Correlates. Canadian Journal of Experimental Psychology 54 (4):266-273.
  30.  16
    J. H. Maunsell (2004). Neuronal Representations of Cognitive State: Reward or Attention? Trends in Cognitive Sciences 8 (6):261-265.
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  31.  14
    Agustín Ibáñez, Andrés Haye, Ramiro González, Esteban Hurtado & Rodrigo Henríquez (2009). Multi‐Level Analysis of Cultural Phenomena: The Role of ERPs Approach to Prejudice. Journal for the Theory of Social Behaviour 39 (1):81-110.
    Brain processes and social processes are not as separated as many of our Social Psychology and Neuroscience departments. This paper discusses the potential contribution of social neuroscience to the development of a multi-level, dynamic, and context-sensitive approach to prejudice. Specifically, the authors review research on event related potentials during social bias, stereotypes, and social attitudes measurements, showing that electrophysiological methods are powerful tools for analyzing the temporal fine-dynamics of psychological processes involved in implicit and explicit prejudice. Meta-theoretical implications are drawn (...)
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  32.  10
    C. Marzi, M. Girelli, Carlo Miniussi, N. Smania & Angelo Maravita (2000). Electrophysiological Correlates of Conscious Vision: Evidence From Unilateral Extinction. Journal of Cognitive Neuroscience 12 (5):869-877.
  33.  35
    Colin Andrew Ross (2010). Hypothesis: The Electrophysiological Basis of Evil Eye Belief. Anthropology of Consciousness 21 (1):47-57.
    The sense of being stared at is the basis of evil eye beliefs, which are regarded as superstitions because the emission of any form of energy from the human eye has been rejected by Western science. However, brainwaves in the 1–40 Hertz, 1–10 microvolt range emitted through the eye can be detected using a high-impedance electrode housed inside electromagnetically insulated goggles. This signal, which the author calls “human ocular extramission,” is physiologically active and has distinct electrophysiological properties from simultaneous brainwave (...)
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  34.  4
    Richard D. Weiner (1984). Does Electroconvulsive Therapy Cause Brain Damage? Behavioral and Brain Sciences 7 (1):1.
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  35.  2
    Robert M. Boynton & M. Howard Triedman (1953). A Psychophysical and Electrophysiological Study of Light Adaptation. Journal of Experimental Psychology 46 (2):125.
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  36. Kimberley A. Kane, Electrophysiological Indices of Conscious and Automatic Memory Processes.
  37. Tony Towell (2001). Unconscious Awareness. In Ron Roberts & David Groome (eds.), Parapsychology: The Science of Unusual Experience. Arnold 77-85.
  38. L. E. Travis & T. A. Hunter (1928). The Relation Between "Intelligence" and Reflex Conduction Rate. Journal of Experimental Psychology 11 (5):342.
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  39. Rolf Verleger (2001). Comment on Electrophysiological Correlates of Conscious Vision: Evidence From Unilateral Extinction by Marzi, Girelli, Miniussi, Smania, and Maravita, in JOCN 12:. Journal of Cognitive Neuroscience 13 (3):416-417.
     
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  40. Jonathan K. Wynn & Michael F. Green (2006). Backward Masking in Schizophrenia: Neuropsychological, Electrophysiological, and Functional Neuroimaging Findings. In Gmen, Haluk; Breitmeyer, Bruno G. (2006). The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. (Pp. 171-184). Cambridge, Ma, Us: Mit Press. Xi, 410 Pp.
  41.  48
    A. Demertzi, E. Racine, M.-A. Bruno, D. Ledoux, O. Gosseries, A. Vanhaudenhuyse, M. Thonnard, A. Soddu, G. Moonen & S. Laureys (2013). Pain Perception in Disorders of Consciousness: Neuroscience, Clinical Care, and Ethics in Dialogue. [REVIEW] Neuroethics 6 (1):37-50.
    Pain, suffering and positive emotions in patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious states (MCS) pose clinical and ethical challenges. Clinically, we evaluate behavioural responses after painful stimulation and also emotionally-contingent behaviours (e.g., smiling). Using stimuli with emotional valence, neuroimaging and electrophysiology technologies can detect subclinical remnants of preserved capacities for pain which might influence decisions about treatment limitation. To date, no data exist as to how healthcare providers think about end-of-life options (e.g., withdrawal of artificial nutrition (...)
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  42.  15
    Michael C. Schmid & Mark A. Augath, Visually Driven Activation in Macaque Areas V2 and V3 Without Input From the Primary Visual Cortex.
    Creating focal lesions in primary visual cortex (V1) provides an opportunity to study the role of extra-geniculo-striate pathways for activating extrastriate visual cortex. Previous studies have shown that more than 95% of neurons in macaque area V2 and V3 stop firing after reversibly cooling V1 [1,2,3]. However, no studies on long term recovery in areas V2, V3 following permanent V1 lesions have been reported in the macaque. Here we use macaque fMRI to study area V2, V3 activity patterns from 1 (...)
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  43.  25
    Andreas Bartels, fMRI and its Interpretations: An Illustration on Directional Selectivity in Area V5/MT.
    fMRI is a tool to study brain function noninvasively that can reliably identify sites of neural involvement for a given task. However, to what extent can fMRI signals be related to measures obtained in electrophysiology? Can the blood-oxygen-level-dependent signal be interpreted as spatially pooled spiking activity? Here we combine knowledge from neurovascular coupling, functional imaging and neurophysiology to discuss whether fMRI has succeeded in demonstrating one of the most established functional properties in the visual brain, namely directional selectivity in the (...)
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  44.  4
    Justin M. Riddle (2015). Fractal Cognitive Triad: The Theoretical Connection Between Subjective Experience and Neural Oscillations. Cosmos and History: The Journal of Natural and Social Philosophy 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 at 5 Hz, action (...)
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  45.  6
    Sven Dierig (1998). „Feinere Messungen in der Mitte einer belebten Stadt”—Berliner Großstadtverkehr und die apparativen Hilfsmittel der Elektrophysiologie, 1845–1910. NTM International Journal of History and Ethics of Natural Sciences, Technology and Medicine 6 (1):148-169.
    In the history of science, the alterations of laboratorial working conditions during a defined period of time and the processes leading to substitution of one instrument by another are not well reconstructed. With respect to electrophysiology between 1845 and 1910, the present article attempts to call attention to the relationship between the use of instruments in a laboratory, the change in these instruments and the change of local environments in which the laboratory was situated.
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  46.  14
    Stanley Finger (2012). The Lady and the Eel: How Aphra Behn Introduced Europeans to the "Numb Eel". Perspectives in Biology and Medicine 55 (3):378-401.
    Although the history of nerve and muscle electrophysiology is often truncated and presented as if it started with Galvani's Commentarius (1791) late in the 18th century, a strong (but narrower) case for animal electricity had been made a few decades earlier with three types of fishes: "torpedo" rays, electric catfishes, and the electric "eel." (For a history of electric fishes and how their shocks ultimately were perceived as electrical, see Finger and Piccolino 2011.) More than 2,000 years before the Common (...)
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  47.  1
    Gabriel Finkelstein (2003). M. Du Bois-Reymond Goes To Paris. British Journal for the History of Science 36 (3):261-300.
    This article examines the science of electrophysiology developed by Emil du Bois-Reymond in Berlin in the 1840s. In it I recount his major findings, the most significant being his proof of the electrical nature of nerve signals. Du Bois-Reymond also went on to detect this same ‘negative variation’, or action current, in live human subjects. In 1850 he travelled to Paris to defend this startling claim. The essay concludes with a discussion of why his demonstration failed to convince his hosts (...)
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  48.  6
    Debra Titone & J. Bruno Debruille (2003). Guarding Against Over-Inclusive Notions of “Context”: Psycholinguistic and Electrophysiological Studies of Specific Context Functions in Schizophrenia. Behavioral and Brain Sciences 26 (1):108-109.
    Phillips & Silverstein offer an exciting synthesis of ongoing efforts to link the clinical and cognitive manifestations of schizophrenia with cellular accounts of its pathophysiology. We applaud their efforts but wonder whether the highly inclusive notion of “context” adequately captures some important details regarding schizophrenia and NMDA/glutamate function that are suggested by work on language processing and cognitive electrophysiology.
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  49.  19
    Jim F. Pagel (2004). Drug Induced Alterations in Dreaming: An Exploration of the Dream Data Terrain Outside Activation-Synthesis. Behavioral and Brain Sciences 27 (5):702-707.
    Two meta-analyses of pharmacological research are presented, demonstrating that psychoactive drugs have consistent effects on EEG and sleep outside of their effects on REM sleep, and demonstrating that drugs other than those affecting sleep neurotransmitter systems and REM sleep can also alter reported nightmare occurrence. These data suggest that the neurobiology data terrain outside activation-synthesis may include sleep and dream electrophysiology, cognitive reports of dreaming, effects of alterations in consciousness on dreaming, immunology and host defense, and clinical therapies for (...)
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  50.  5
    Geraint Rees (2001). Can Philosophy Discover Consciousness in the Brain? Commentary on Revonsuo's Can Functional Brain Imaging Discover Consciousness in the Brain?. Journal of Consciousness Studies 8 (3):34-38.
    Revonsuo makes a provocative and interesting claim: that currently available neurophysiological recording techniques will be unable to discover the neural basis of consciousness in the brain. Although the title refers exclusively to functional brain imaging, Revonsuo considers MEG, EEG, ERP and measurements of firing rate in single cell electrophysiology all in principle incapable of discovering consciousness in the brain. This conclusion is reached by assuming that only one particular type of physical entity constitutes awareness.
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