Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Functional networks of the brain: from connectivity restoration to dynamic integration
A review of physical and mathematical methods for reconstructing the functional networks of
the brain based on recorded brain activity is presented. Various methods are considered, as …
the brain based on recorded brain activity is presented. Various methods are considered, as …
[HTML][HTML] The potential impact of ChatGPT in clinical and translational medicine
VW Xue, P Lei, WC Cho - Clinical and Translational Medicine, 2023 - ncbi.nlm.nih.gov
The Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI)
model developed by Open AI for generating human-like text. ChatGPT is powered by the …
model developed by Open AI for generating human-like text. ChatGPT is powered by the …
Visual and kinesthetic modes affect motor imagery classification in untrained subjects
The understanding of neurophysiological mechanisms responsible for motor imagery (MI) is
essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our …
essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our …
[HTML][HTML] Multistability and tipping: From mathematics and physics to climate and brain—Minireview and preface to the focus issue
Multistability refers to the coexistence of different stable states in nonlinear dynamical
systems. This phenomenon has been observed in laboratory experiments and in nature. In …
systems. This phenomenon has been observed in laboratory experiments and in nature. In …
Neural interactions in a spatially-distributed cortical network during perceptual decision-making
Behavioral experiments evidence that attention is not maintained at a constant level, but
fluctuates with time. Recent studies associate such fluctuations with dynamics of attention …
fluctuates with time. Recent studies associate such fluctuations with dynamics of attention …
Dynamics of functional connectivity in multilayer cortical brain network during sensory information processing
NS Frolov, VA Maksimenko, MV Khramova… - The European Physical …, 2019 - Springer
Topology of a functional brain multilayer network is dynamically adjusted to provide optimal
performance during accomplishing cognitive tasks, including sensory information …
performance during accomplishing cognitive tasks, including sensory information …
Functional near-infrared spectroscopy for the classification of motor-related brain activity on the sensor-level
Sensor-level human brain activity is studied during real and imaginary motor execution
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
The remarkable flexibility and adaptability of both deep learning models and ensemble
methods have led to the proliferation for their application in understanding many physical …
methods have led to the proliferation for their application in understanding many physical …
Multiscale neural connectivity during human sensory processing in the brain
Stimulus-related brain activity is considered using wavelet-based analysis of neural
interactions between occipital and parietal brain areas in alpha (8–12 Hz) and beta (15–30 …
interactions between occipital and parietal brain areas in alpha (8–12 Hz) and beta (15–30 …