EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5 and higher under Linux, Unix, Windows, and Mac OS X (Matlab 7+ recommended).

References in zbMATH (referenced in 53 articles )

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  1. Alfatlawi, Mustaffa; Srivastava, Vaibhav: An incremental approach to online dynamic mode decomposition for time-varying systems with applications to EEG data modeling (2020)
  2. Fardin Ghorbani, Soheil Hashemi, Ali Abdolali, Mohammad Soleimani: EEGsig machine learning-based toolbox for End-to-End EEG signal processing (2020) arXiv
  3. Gao, Xu; Shen, Weining; Shahbaba, Babak; Fortin, Norbert J.; Ombao, Hernando: Evolutionary state-space model and its application to time-frequency analysis of local field potentials (2020)
  4. Bénar, Christian G.; Grova, C.; Jirsa, V. K.; Lina, J. M.: Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study (2019)
  5. Daniel McDuff, Ethan Blackford: iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox (2019) arXiv
  6. Pfister, Niklas; Weichwald, Sebastian; Bühlmann, Peter; Schölkopf, Bernhard: Robustifying independent component analysis by adjusting for group-wise stationary noise (2019)
  7. Fanny Grosselin; Xavier Navarro-Sune; Mathieu Raux; Thomas Similowski; Mario Chavez: CARE-rCortex: a Matlab toolbox for the analysis of CArdio-REspiratory-related activity in the Cortex (2018) arXiv
  8. Liu, Hao; Zhang, Puming: Phase synchronization dynamics of neural network during seizures (2018)
  9. Li, Weifeng; Shen, Yuxiaotong; Zhang, Jie; Huang, Xiaolin; Chen, Ying; Ge, Yun: Common interferences removal from dense multichannel EEG using independent component decomposition (2018)
  10. Sweeney-Reed, Catherine M.; Nasuto, Slawomir J.; Vieira, Marcus F.; Andrade, Adriano O.: Empirical mode decomposition and its extensions applied to EEG analysis: a review (2018)
  11. Veretennikova, Maria A.; Sikorskii, Alla; Boivin, Michael J.: Parameters of stochastic models for electroencephalogram data as biomarkers for child’s neurodevelopment after cerebral malaria (2018)
  12. Frady, E. Paxon; Kapoor, Ashish; Horvitz, Eric; Kristan, William B. jun.: Scalable semisupervised functional neurocartography reveals canonical neurons in behavioral networks (2016)
  13. Hamedi, Mahyar; Salleh, Sh-Hussain; Noor, Alias Mohd: Electroencephalographic motor imagery brain connectivity analysis for BCI: a review (2016)
  14. Schillinger, Frieder L.; De Smedt, Bert; Grabner, Roland H.: When errors count: an EEG study on numerical error monitoring under performance pressure (2016) MathEduc
  15. Lainscsek, Claudia; Hernandez, Manuel E.; Poizner, Howard; Sejnowski, Terrence J.: Delay differential analysis of electroencephalographic data (2015)
  16. Selvan, S. Easter; George, S. Thomas; Balakrishnan, R.: Range-based ICA using a nonsmooth quasi-Newton optimizer for electroencephalographic source localization in focal epilepsy (2015)
  17. Hinault, Thomas; Dufau, Stéphane; Lemaire, Patrick: Sequential modulations of poorer-strategy effects during strategy execution: an event-related potential study in arithmetic (2014) MathEduc
  18. Kang, Hyohyeong; Choi, Seungjin: Bayesian common spatial patterns for multi-subject EEG classification (2014)
  19. Li, Zhaohui; Ouyang, Gaoxiang; Yao, Li; Li, Xiaoli: Estimating the correlation between bursty spike trains and local field potentials (2014) ioport
  20. Fiori, Marina; Lintas, Alessandra; Mesrobian, Sarah; Villa, Alessandro E. P.: Effect of emotion and personality on deviation from purely rational decision-making (2013) ioport

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