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To become meditative means to create distance between you and your physicality, not to give it up but to carry it loosely. If you carry it loosely you can use it the way you want, when you don’t want, you can drop it. IMPORTANT: These devices can cause seizures in a subject who has had seizures in the past. So when my jerk neighbors slam doors, it adjusts itself." This noise-canceling feature is a selling point for many other reviewers, too, like one who lives on a "very busy street," and writes, "The machine actually produces louder sounds when it detects an increased noise volume in my bedroom. Light and Sound can enhance the work of physicians, psychotherapists, body workers, any harried professional, as well as the individual experimenter who wishes to explore altered states of consciousness, awareness expansion and sensory stimulation. This means that if you are a student or in a job that requires sharp mental focus and clarity, you can pop this on and meditate your way to heightened brain-power. So meditativeness on one level just means that you are creating a distance between you and your physicality. |
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The MD brain regions reviewed above also appear to overlap substantially with the central executive network and the salience network having a key role in a range of cognitive functions and tasks (for a review, see Bressler and Menon 2010) as well as in multiple psychopathology conditions (for a review, see Menon 2011).
They are also characterized by their high sensitivity to mindfulness meditation training (for a review, see Malinowski 2013). Furthermore, electroencephalographic (EEG) and magnetoencephalographic (MEG) investigations suggest the importance of large-scale coherent oscillatory patterns in the brain in meditation (e.g., Hauswald et al.
What features of the brain waves data can be used in machine learning algorithms to classify meditation state from other states. It is observed that though n-gram features and linguistic features have been adopted by a few researchers earlier, none of them have proposed any unified model that work universally for all types of data.