Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic responses coincide in different subjects experiencing a common naturalistic stimulus. Here we utilize neural responses in the electroencephalogram (EEG) evoked by multiple presentations of short film clips to index brain states marked by high levels of correlation within and across subjects. We formulate a novel signal decomposition method which extracts maximally correlated signal components from multiple EEG records. The resulting components capture correlations down to a one-second time resolution, thus revealing that peak correlations of neural activity across viewings can occur in remarkable correspondence with arousing moments of the film. Mo...
The goal of this dissertation is to explore the neural correlates of endogenous task-related attenti...
Target detection paradigms have been widely applied in the study of human cognitive functions, parti...
The human brain is remarkably good at identifying stimuli worthy of attention, and efficiently alloc...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Cortical and subcortical networks have been identified that are commonly associated with attention a...
To understand temporally extended events, the human brain needs to accumulate information continuous...
To understand temporally extended events, the human brain needs to accumulate information continuous...
Copyright: © 2020 Ito et al. This is an open access article distributed under the terms of the Creat...
Inter-subject correlation is a measure of the similarity of the brain activity of a group of people ...
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes du...
Naturalistic stimuli, such as movies, contain interacting, multimodal and semantic features and allo...
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are two noninvasive me...
Attentional engagement is a major determinant of how effectively we gather information through our s...
The goal of this dissertation is to explore the neural correlates of endogenous task-related attenti...
Target detection paradigms have been widely applied in the study of human cognitive functions, parti...
The human brain is remarkably good at identifying stimuli worthy of attention, and efficiently alloc...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic respon...
Cortical and subcortical networks have been identified that are commonly associated with attention a...
To understand temporally extended events, the human brain needs to accumulate information continuous...
To understand temporally extended events, the human brain needs to accumulate information continuous...
Copyright: © 2020 Ito et al. This is an open access article distributed under the terms of the Creat...
Inter-subject correlation is a measure of the similarity of the brain activity of a group of people ...
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes du...
Naturalistic stimuli, such as movies, contain interacting, multimodal and semantic features and allo...
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are two noninvasive me...
Attentional engagement is a major determinant of how effectively we gather information through our s...
The goal of this dissertation is to explore the neural correlates of endogenous task-related attenti...
Target detection paradigms have been widely applied in the study of human cognitive functions, parti...
The human brain is remarkably good at identifying stimuli worthy of attention, and efficiently alloc...