ABSTRACT
Brain is not a mere input-output information transformation system, but a dynamical system that generates spontaneous spatiotemporal patterns even without sensory inputs, executed movements, or cognitive tasks. These spontaneously generated patterns by brain dynamics are called spontaneous brain activities for experimental animals, and resting state brain activities for humans. The resting state brain activity of an individual contains much information about age, cognitive capability, mental disorder etc. By combining information decoding from brain activity and its neurofeedback in reinforcement learning paradigms, we can unconsciously control brain activity patterns corresponding to specific information. This leads to therapies of psychiatric disorders, unconscious manipulation of facial preferences, color qualia, confidence in decision making, increase of cognitive capability, etc. Ubicomp community can expect this technology will soon be available in much cheaper and lighter devices such as EEG and near infrared spectroscopy instead of heavy and expensive fMRI or MEG.
- Visualizing and manipulating brain dynamics
Recommendations
Visualizing and manipulating brain dynamics
UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous ComputingBrain is not a mere input-output information transformation system, but a dynamical system that generates spontaneous spatiotemporal patterns even without sensory inputs, executed movements, or cognitive tasks. These spontaneously generated patterns by ...
Brain network dynamics underlying visuospatial judgment: An fmri connectivity study
Previous functional imaging research has consistently indicated involvement of bilateral fronto-parietal networks during the execution of visuospatial tasks. Studies with TMS have suggested that the right hemispheric network, but not the left, is ...
Spatio-temporal brain dynamics mediating post-error behavioral adjustments
Optimal behavior relies on flexible adaptation to environmental requirements, notably based on the detection of errors. The impact of error detection on subsequent behavior typically manifests as a slowing down of RTs following errors. Precisely how ...
Comments