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  1. Using Bayes to get the most out of non-significant results.Zoltan Dienes - 2014 - Frontiers in Psychology 5:85883.
    No scientific conclusion follows automatically from a statistically non-significant result, yet people routinely use non-significant results to guide conclusions about the status of theories (or the effectiveness of practices). To know whether a non-significant result counts against a theory, or if it just indicates data insensitivity, researchers must use one of: power, intervals (such as confidence or credibility intervals), or else an indicator of the relative evidence for one theory over another, such as a Bayes factor. I argue Bayes factors (...)
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  • Hypnotic State Modulates Sensorimotor Beta Rhythms During Real Movement and Motor Imagery.Sébastien Rimbert, Manuel Zaepffel, Pierre Riff, Perrine Adam & Laurent Bougrain - 2019 - Frontiers in Psychology 10:478341.
    The hypnosis technique is currently used in the medical field and influences directly the patient's state of relaxation, perception of the body and its visual imagination. There is evidence to suggest that hypnosis state may help patients to better achieve the task of motor imagination, which is central in rehabilitation protocols after a stroke. However, the hypnosis technique could also alter the activity in motor cortex. To the best of our knowledge, the impact of hypnosis on the EEG signal during (...)
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  • Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCI.Jianjun Meng & Bin He - 2019 - Frontiers in Human Neuroscience 13.
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  • Brain–computer interfaces and dualism: a problem of brain, mind, and body.Joseph Lee - 2016 - AI and Society 31 (1):29-40.
    The brain–computer interface (BCI) has made remarkable progress in the bridging the divide between the brain and the external environment to assist persons with severe disabilities caused by brain impairments. There is also continuing philosophical interest in BCIs which emerges from thoughtful reflection on computers, machines, and artificial intelligence. This article seeks to apply BCI perspectives to examine, challenge, and work towards a possible resolution to a persistent problem in the mind–body relationship, namely dualism. The original humanitarian goals of BCIs (...)
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  • On the feasibility of simple brain-computer interface systems for enabling children with severe physical disabilities to explore independent movement.Erica D. Floreani, Danette Rowley, Dion Kelly, Eli Kinney-Lang & Adam Kirton - 2022 - Frontiers in Human Neuroscience 16:1007199.
    IntroductionChildren with severe physical disabilities are denied their fundamental right to move, restricting their development, independence, and participation in life. Brain-computer interfaces (BCIs) could enable children with complex physical needs to access power mobility (PM) devices, which could help them move safely and independently. BCIs have been studied for PM control for adults but remain unexamined in children. In this study, we explored the feasibility of BCI-enabled PM control for children with severe physical disabilities, assessing BCI performance, standard PM skills (...)
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  • User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface.Minkyu Ahn, Hohyun Cho, Sangtae Ahn & Sung C. Jun - 2018 - Frontiers in Human Neuroscience 12.
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