Dynamic filtering improves attentional state prediction with fNIRS.

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Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks.Neural and metabolic basis of dynamic resting state fMRI.

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Dynamic filtering improves attentional state prediction with fNIRS.

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2016 nî lūn-bûn

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Dynamic filtering improves attentional state prediction with fNIRS.

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Dynamic filtering improves attentional state prediction with fNIRS.

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Dynamic filtering improves attentional state prediction with fNIRS.

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Angela R Harrivel

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Daniel H Weissman

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Douglas C Noll

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Scott J Peltier

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Theodore Huppert

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P2860

Competition between functional brain networks mediates behavioral variability

A default mode of brain function

Experience sampling during fMRI reveals default network and executive system contributions to mind wandering

The human brain is intrinsically organized into dynamic, anticorrelated functional networks

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI

Brain-computer interface using a simplified functional near-infrared spectroscopy system

Estimation of optical pathlength through tissue from direct time of flight measurement

Functional connectivity in the resting brain: a network analysis of the default mode hypothesis

Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control

A core system for the implementation of task sets

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979-1002

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10.1364/BOE.7.000979

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27231602

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attention

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Dynamic filtering improves attentional state prediction with fNIRS.

about

P2860

P2860

Dynamic filtering improves attentional state prediction with fNIRS.

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