Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data-Reference-Cited by-同舟云学术

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Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data

Published:2017-07-05 Issue:4 Volume:14 Page:046029
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Croce Pierpaolo,Zappasodi Filippo,Merla Arcangelo,Chiarelli Antonio Maria

Funder

Smart Health, Advancing Smart Optical Imaging and Sensing for Health (ASTONISH).

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/aa7321/pdf

Reference56 articles.

1. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

2. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

3. Twenty years of functional near-infrared spectroscopy: introduction for the special issue

4. Modeling the hemodynamic response to brain activation

5. Dynamics of blood flow and oxygenation changes during brain activation: The balloon model

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