A Novel, Fast, Reliable, and Data-Driven Method for Simultaneous Single-Trial Mining and Amplitude—Latency Estimation Based on Proximity Graphs and Network Analysis-Reference-Cited by-同舟云学术

A Novel, Fast, Reliable, and Data-Driven Method for Simultaneous Single-Trial Mining and Amplitude—Latency Estimation Based on Proximity Graphs and Network Analysis

Published:2018-11-19 Issue: Volume:12 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Dimitriadis Stavros I.,Brindley Lisa,Evans Lisa H.,Linden David E.,Singh Krish D.

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference59 articles.

1. A new look at the statistical model identification;Aikake;IEEE Trans. Automat. Contr,1974

2. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks;Anderson;IEEE Trans. Biomed. Eng,1998

3. Prediction of psychosis by mismatch negativity;Bodatsch;Biol. Psychiatry,2011

4. Impact of the reference choice on scalp EEG connectivity estimation;Chella;J. Neural Eng.,2016

5. Activity flow over resting-state networks shapes cognitive task activations;Cole;Nat. Neurosci.,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Correcting for ERP latency jitter improves gaze-independent BCI decoding;Journal of Neural Engineering;2024-07-12

2. Improved data quality and statistical power of trial-level event-related potentials with Bayesian random-shift Gaussian processes;Scientific Reports;2024-04-17

3. Breath-holding as model for the evaluation of EEG signal during respiratory distress;European Journal of Applied Physiology;2023-12-17