Artifact characterization and removal for in vivo neural recording
- 1 April 2014
- journal article
- research article
- Published by Elsevier BV in Journal of Neuroscience Methods
- Vol. 226, 110-123
- https://doi.org/10.1016/j.jneumeth.2014.01.027
Abstract
No abstract availableKeywords
Funding Information
- A*STAR PSF (R-263-000-699-305)
- NUS YIA (R-263-000-A29-133)
- A*STAR-CIMIT (R-263-000-A47-112)
- MOE (R-263-000-619-133)
This publication has 26 references indexed in Scilit:
- The origin of extracellular fields and currents — EEG, ECoG, LFP and spikesNature Reviews Neuroscience, 2012
- Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram dataIET Signal Processing, 2012
- Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual InformationJournal of Neuroscience, 2008
- Tracking Spike-Amplitude Changes to Improve the Quality of Multineuronal Data AnalysisIEEE Transactions on Biomedical Engineering, 2007
- Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysisNeuroImage, 2006
- Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysisJournal of Neuroscience Methods, 2006
- Using ICA for removal of ocular artifacts in EEG recorded from blind subjectsNeural Networks, 2005
- The hippocampus and declarative memory: cognitive mechanisms and neural codesBehavioural Brain Research, 2001
- Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an on-line real-time neural networkIEEE Transactions on Biomedical Engineering, 1997
- On the Representation of Operators in Bases of Compactly Supported WaveletsSIAM Journal on Numerical Analysis, 1992