Journal ArticleDOI
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
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TLDR
The physical principles of BCIs, and underlying novel approaches for registration, analysis, and control of brain activity are reviewed, and the new emerging technological trend in the BCI development which consists in using neurointerfaces to improve the interaction between people, so-called brain-to-brain interfaces (BBIs).About:
This article is published in Physics Reports.The article was published on 2021-06-25. It has received 79 citations till now. The article focuses on the topics: Brain–computer interface.read more
Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
The Self-Organizing Map
TL;DR: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article, where the authors present an overview of their work.
Posted Content
Dynamic fluctuations in global brain network topology characterize functional states during rest and behavior
James M. Shine,Peter T. Bell,Oluwasanmi Koyejo,Patrick G. Bissett,Krzysztof J. Gorgolewski,Craig A. Moodie,Russell A. Poldrack +6 more
TL;DR: In this article, the authors characterized patterns of time-resolved functional connectivity using resting state and task fMRI data from a large cohort of unrelated subjects, demonstrating a higher level of network integration that tracked with the complexity of the task and correlated with effective behavioral performance.
High-Frequency, Long-Range Coupling Between Prefrontal and Visual Cortex During Attention
TL;DR: It is found that attention to a stimulus in their joint receptive field leads to enhanced oscillatory coupling between the two areas, particularly at gamma frequencies, which may optimize the postsynaptic impact of spikes from one area upon the other, improving cross-area communication with attention.
Experimental measurements of human brain noise intensity in perception of ambiguous images
Alexander E. Hramov,Vadim V. Grubov,Alexey A. Koronovskii,Maria K. Kurovskaya,Anastasiya E. Runnova,M. O. Zhuravlev,Alexander N. Pisarchik +6 more
TL;DR: In this paper, a theoretical approach associated with an experimental technique to quantitatively characterize cognitive brain activity in the perception of ambiguous images was proposed, based on the developed theoretical background and the obtained experimental data.
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