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Training Anomalous Cognition in a Motor Task with Subliminal Auditory Feedback

Journal of Parapsychology, 2018
Background and Aim The purpose was to train anomalous cognition (AC) in a motor automatism task with subliminal auditory feedback in 5 participants (Ps) selected on the basis of high state and trait dissociation scores in a previous motor automatism ...
J. Palmer
semanticscholar   +2 more sources

Experimental Evidence for Anomalous Retroactive Influences on Human Cognition and Affect

AIP Conference Proceedings, 2011
Six experiments are described that take well‐established psychological effects on human cognition and affect and “time‐reverse” them so that the individual's responses are obtained before the putatively causal stimulus events occur. Two of the experiments tested for the retroactive facilitation of recall: It is well known that rehearsing or practicing ...
D. Bem
semanticscholar   +2 more sources

Afterthoughts on precognition: No cogent evidence for anomalous influences of consequent events on preceding cognition

Theory & Psychology, 2013
In a recently published major article in the Journal of Personality and Social Psychology, Daryl Bem (2011) made a strong claim for the existence of a parapsychological phenomenon called retroactive causation. Across nine experiments, aspects of stimuli were shown to correlate with participants’ responses provided before the stimuli were generated by ...
K. Fiedler, J. Krueger
semanticscholar   +2 more sources

Entertaining Without Endorsing: The Case for the Scientific Investigation of Anomalous Cognition

Psychology of Consciousness: Theory, Research, and Practice, 2018
J. Schooler   +2 more
semanticscholar   +2 more sources

Anomalous perception in synaesthesia: A cognitive neuroscience perspective

Nature Reviews Neuroscience, 2002
An enduring question in cognitive neuroscience is how the physical properties of the world are represented in the brain to yield conscious perception. In most people, a particular physical stimulus gives rise to a unitary, unimodal perceptual experience.
Rich, AN, Mattingley, JB
openaire   +3 more sources

Pattern based anomalous user detection in cognitive radio networks

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Cognitive radio (CR) provides the ability to sense the range of frequencies (spectrum) that are not utilized by the incumbent user (primary user) and to opportunistically use the unoccupied spectrum in a heterogeneous environment. This can use a collaborative spectrum sensing approach to detect the spectrum holes.
Sutharshan Rajasegarar   +2 more
openaire   +1 more source

Stress and cognition: A user's guide to designing and interpreting studies.

Psychoneuroendocrinology, 2019
Fueling the rapid growth in our understanding of how stress influences cognition, the number of studies examining the effects of stress on various cognitive processes has grown substantially over the last two decades.
G. Shields
semanticscholar   +1 more source

Anomalous spectrum usage attack detection in cognitive radio wireless networks

2011 IEEE International Conference on Technologies for Homeland Security (HST), 2011
In many mission-critical applications such as military operations or disaster relief efforts, wireless networks employing dynamic spectrum access enabled by cognitive radio technology gain popularity due to their high spectrum efficiency and interoperability.
CaLynna Sorrells   +3 more
openaire   +1 more source

Anomalous Phase Change in SbSex Memristors for Ultrafast Image Encryption

Advances in Materials
Complex electrical nonlinearity process in neurons is believed to be the origin of high‐level cognition, highly desired for an electronic device with rich dynamics.
G. Zhou   +10 more
semanticscholar   +1 more source

Cognition Guided Video Anomaly Detection Framework for Surveillance Services

IEEE Transactions on Services Computing
The aim of surveillance services is to detect anomalous events that occur in given surveillance videos. Most existing video anomaly detection methods rely on minimizing reconstruction or prediction errors due to the lack of abnormal data, which results ...
Menghao Zhang   +5 more
semanticscholar   +1 more source

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