Behavioral Studies using large-scale brain networks–methods and validations
Mapping human behaviors to brain activity has become a key focus in modern cognitive
neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show …
neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show …
[图书][B] Causality, correlation and artificial intelligence for rational decision making
T Marwala - 2015 - books.google.com
Causality has been a subject of study for a long time. Often causality is confused with
correlation. Human intuition has evolved such that it has learned to identify causality through …
correlation. Human intuition has evolved such that it has learned to identify causality through …
Stereotype-based stressors facilitate emotional memory neural network connectivity and encoding of negative information to degrade math self-perceptions among …
Stress engendered by stereotype threatening situations may facilitate encoding of negative,
stereotype confirming feedback received during a performance among women in science …
stereotype confirming feedback received during a performance among women in science …
Multiscale community detection in functional brain networks constructed using dynamic time warping
Previous studies have focused on the detection of community structures of brain networks
constructed with resting-state functional magnetic resonance imaging (fMRI) data. Pearson …
constructed with resting-state functional magnetic resonance imaging (fMRI) data. Pearson …
Detection of brain network communities during natural speech comprehension from functionally aligned eeg sources
In recent years, electroencephalograph (EEG) studies on speech comprehension have been
extended from a controlled paradigm to a natural paradigm. Under the hypothesis that the …
extended from a controlled paradigm to a natural paradigm. Under the hypothesis that the …
On the role of situational stressors in the disruption of global neural network stability during problem solving
When individuals are placed in stressful situations, they are likely to exhibit deficits in
cognitive capacity over and above situational demands. Despite this, individuals may still …
cognitive capacity over and above situational demands. Despite this, individuals may still …
Non-linear Granger causality and its frequency decomposition in decoding human upper limb movement intentions
Non-linear Granger Causality (GC) can detect directional influence of signals between
multiple locations through a non-linear predictive approach using Radial Basis Functions …
multiple locations through a non-linear predictive approach using Radial Basis Functions …
Connectivity based feature-level filtering for single-trial EEG BCIs
EEG-based Brain Computer interfaces (BCIs) often rely on power spectral density features to
represent relevant aspects of brain activity. The information flow within human brain …
represent relevant aspects of brain activity. The information flow within human brain …
The role of startle fluctuation and non-response startle reflex in tracking amygdala dynamics
The startle reflex is considered a sensitive defensive reaction to potential threats that
manifests as a unique eye blink-like pattern in the EMG. Eye blink EMG has a bell-shaped …
manifests as a unique eye blink-like pattern in the EMG. Eye blink EMG has a bell-shaped …
[HTML][HTML] Beyond the ERPs—Startle Response is Better Outlined by Whole Brain and Spectral EEG Features
M Liu, X Wang - Journal of Psychiatry and Brain Science, 2017 - hapres.com
Objective: To isolate an spacial and spectral EEG biomarker that is reliable for
characterizing amygdala associated startle response. Methods: A spatial-spectral filter of …
characterizing amygdala associated startle response. Methods: A spatial-spectral filter of …