David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Consciousness and Cognition 11 (1):98-113 (2002)
Although the brain enables us to perceive the external world and our body, it remains unknown whether brain processes themselves can be perceived. Brain tissue does not have receptors for its own activity. However, the ability of humans to acquire self-control of brain processes indicates that the perception of these processes may also be achieved by learning. In this study patients learned to control low-frequency components of their EEG: the so-called slow cortical potentials (SCPs). In particular ''probe'' sessions, the patients estimated the quality of the SCP shift they had produced in the preceding trial. The correspondence between the recorded SCP amplitudes and the subjective estimates increased with training. The ability to perceive the SCPs was related to the ability to control them; this perception was not mediated by peripheral variables such as changes in muscle tonus and cannot be reduced to simple vigilance monitoring. These data provide evidence that humans can learn to perceive the neural activity of their brain. Alternative interpretations are discussed.
|Keywords||*Awareness *Brain *Electroencephalography *Neurophysiology Epilepsy Sclerosis (Nervous System)|
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References found in this work BETA
J. B. Newman (1995). Thalamic Contributions to Attention and Consciousness. Consciousness and Cognition 4 (2):172-93.
Citations of this work BETA
Han-Gue Jo, Marc Wittmann, Tilmann Lhündrup Borghardt, Thilo Hinterberger & Stefan Schmidt (2014). First-Person Approaches in Neuroscience of Consciousness: Brain Dynamics Correlate with the Intention to Act. Consciousness and Cognition 26:105-116.
Gerd Grübler (2011). Beyond the Responsibility Gap. Discussion Note on Responsibility and Liability in the Use of Brain-Computer Interfaces. AI and Society 26 (4):377-382.
Jon A. Frederick (2012). Psychophysics of EEG Alpha State Discrimination. Consciousness and Cognition 21 (3):1345-1354.
R. Christopher deCharms (2007). Reading and Controlling Human Brain Activation Using Real-Time Functional Magnetic Resonance Imaging. Trends in Cognitive Sciences 11 (11):473-481.
Jean-Arthur Micoulaud-Franchi, Clélia Quiles, Guillaume Fond, Michel Cermolacce & Jean Vion-Dury (2014). The Covariation of Independent and Dependant Variables in Neurofeedback: A Proposal Framework to Identify Cognitive Processes and Brain Activity Variables. Consciousness and Cognition 26:162-168.
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