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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 …
Superior longitudinal fasciculus: a review of the anatomical descriptions with functional correlates
The superior longitudinal fasciculus (SLF) is part of the longitudinal association fiber system,
which lays connections between the frontal lobe and other areas of the ipsilateral …
which lays connections between the frontal lobe and other areas of the ipsilateral …
Age-related changes in 1/f neural electrophysiological noise
Aging is associated with performance decrements across multiple cognitive domains. The
neural noise hypothesis, a dominant view of the basis of this decline, posits that aging is …
neural noise hypothesis, a dominant view of the basis of this decline, posits that aging is …
[HTML][HTML] Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities
Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …
clinical science approaches to understand individual differences in human neural function …
The cognitive neuroscience of ageing
C Grady - Nature Reviews Neuroscience, 2012 - nature.com
The availability of neuroimaging technology has spurred a marked increase in the human
cognitive neuroscience literature, including the study of cognitive ageing. Although there is a …
cognitive neuroscience literature, including the study of cognitive ageing. Although there is a …
Reinforcement learning across development: What insights can we draw from a decade of research?
The past decade has seen the emergence of the use of reinforcement learning models to
study developmental change in value-based learning. It is unclear, however, whether these …
study developmental change in value-based learning. It is unclear, however, whether these …
Moment-to-moment brain signal variability: a next frontier in human brain map**?
Neuroscientists have long observed that brain activity is naturally variable from moment-to-
moment, but neuroimaging research has largely ignored the potential importance of this …
moment, but neuroimaging research has largely ignored the potential importance of this …
Ciabl: Completeness-induced adaptative broad learning for cross-subject emotion recognition with eeg and eye movement signals
Although multimodal physiological data from the central and peripheral nervous systems
can objectively respond to human emotional states, the individual differences caused by non …
can objectively respond to human emotional states, the individual differences caused by non …
Reaction time variability in ADHD: A meta-analytic review of 319 studies
Individuals with ADHD are characterized as ubiquitously slower and more variable than their
unaffected peers, and increased reaction time (RT) variability is considered by many to …
unaffected peers, and increased reaction time (RT) variability is considered by many to …
In the zone or zoning out? Tracking behavioral and neural fluctuations during sustained attention
Despite growing recognition that attention fluctuates from moment-to-moment during
sustained performance, prevailing analysis strategies involve averaging data across …
sustained performance, prevailing analysis strategies involve averaging data across …