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Cortical, subcortical, and cerebellar contributions to language processing: A meta-analytic review of 403 neuroimaging experiments.
Abstract Language is a key human faculty for communication and interaction that provides
invaluable insight into the human mind. Previous work has dissected different linguistic …
invaluable insight into the human mind. Previous work has dissected different linguistic …
Attentional bias for positive emotional stimuli: A meta-analytic investigation.
Despite an initial focus on negative threatening stimuli, researchers have more recently
expanded the investigation of attentional biases toward positive rewarding stimuli. The …
expanded the investigation of attentional biases toward positive rewarding stimuli. The …
EEG based emotion recognition by combining functional connectivity network and local activations
Objective: Spectral power analysis plays a predominant role in electroencephalogram-
based emotional recognition. It can reflect activity differences among multiple brain regions …
based emotional recognition. It can reflect activity differences among multiple brain regions …
Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory
Emotional arousal enhances perception and memory of high-priority information but impairs
processing of other information. Here, we propose that, under arousal, local glutamate levels …
processing of other information. Here, we propose that, under arousal, local glutamate levels …
A survey of emotion recognition methods with emphasis on E-Learning environments
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
ST-SCGNN: a spatio-temporal self-constructing graph neural network for cross-subject EEG-based emotion recognition and consciousness detection
In this paper, a novel spatio-temporal self-constructing graph neural network (ST-SCGNN) is
proposed for cross-subject emotion recognition and consciousness detection. For spatio …
proposed for cross-subject emotion recognition and consciousness detection. For spatio …
Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition
Functional magnetic resonance imaging (fMRI) studiesofemotion, personality, and social
cognition have drawn much attention in recent years, with high-profile studies frequently …
cognition have drawn much attention in recent years, with high-profile studies frequently …
[ספר][B] Cognitive neuroscience of language
D Kemmerer - 2022 - taylorfrancis.com
Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …
pedagogically practical survey of the most important developments in this exciting field. It …
Challenges to the central nervous system during human spaceflight missions to Mars
GR Clément, RD Boyle, KA George… - Journal of …, 2020 - journals.physiology.org
Space travel presents a number of environmental challenges to the central nervous system,
including changes in gravitational acceleration that alter the terrestrial synergies between …
including changes in gravitational acceleration that alter the terrestrial synergies between …
A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of aging
This meta-analysis of 28 data sets (N= 705 older adults, N= 962 younger adults) examined
age differences in emotion recognition across four modalities: faces, voices, bodies/contexts …
age differences in emotion recognition across four modalities: faces, voices, bodies/contexts …