Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
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 …

Superior longitudinal fasciculus: a review of the anatomical descriptions with functional correlates

F Janelle, C Iorio-Morin, S D'amour, D Fortin - Frontiers in Neurology, 2022 - frontiersin.org
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 …

Age-related changes in 1/f neural electrophysiological noise

B Voytek, MA Kramer, J Case, KQ Lepage… - Journal of …, 2015 - jneurosci.org
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 …

[HTML][HTML] Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities

KL Lopez, AD Monachino, KM Vincent, FC Peck… - NeuroImage, 2023 - Elsevier
Electroencephalographic (EEG) methods have great potential to serve both basic and
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 …

Reinforcement learning across development: What insights can we draw from a decade of research?

K Nussenbaum, CA Hartley - Developmental cognitive neuroscience, 2019 - Elsevier
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 …

Moment-to-moment brain signal variability: a next frontier in human brain map**?

DD Garrett, GR Samanez-Larkin… - Neuroscience & …, 2013 - Elsevier
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 …

Ciabl: Completeness-induced adaptative broad learning for cross-subject emotion recognition with eeg and eye movement signals

X Gong, CLP Chen, B Hu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Although multimodal physiological data from the central and peripheral nervous systems
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

MJ Kofler, MD Rapport, DE Sarver, JS Raiker… - Clinical psychology …, 2013 - Elsevier
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 …

In the zone or zoning out? Tracking behavioral and neural fluctuations during sustained attention

M Esterman, SK Noonan, M Rosenberg… - Cerebral …, 2013 - academic.oup.com
Despite growing recognition that attention fluctuates from moment-to-moment during
sustained performance, prevailing analysis strategies involve averaging data across …