Observed Brain Dynamics
By K. Abendroth. 2016
348 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fe8c46016ddce8a9321ecdc6601f6de3799e2b05
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Alexandre Gramfort
- Denis-Alexander Engemann
- Martin Luessi
- Eric Larson
- André Moraes Bastos
- Jan-Mathijs Schoffelen
- Daniel Strohmeier
- Christian Brodbeck
Citations in the corpus
- Independent control of gamma and theta activity by distinct interneuron networks in the olfactory bulb (2014, unknown): “Spectral analysis : Estimates of spectral densities were obtained using a multi-taper method (http:// chronux.org; ref 54 ), with time window 0.5 s (T*W = 2, and 3 tapers used 55 ).”
- Spectrally resolved fast transient brain states in electrophysiological data (2016, unknown): “We refer the reader to (Mitra and Bokil, 2008) for the impact of the choice of these parameters and other technical considerations.”
- MNE software for processing MEG and EEG data (2013, methodology): “The Python toolbox extends these options to include band-stop and notch fi ltering, optionally using multi-taper methods (Mitra and Bokil, 2008), which can be useful for suppressingpower-lineartifactswhichare typically con fi ned to narrow frequency bands (Fig.”
- Closed-loop and activity-guided optogenetic control. (2015, unknown): “A brief nonmathematical introduction to control theory can be found in Mitra and Bokil (Mitra and Bokil, 2007, chapter 3).”
- A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls (2016, methodology): “…connectivity data, most notably EEGLAB and the SIFT toolbox (Delorme et al., 2011), the MVGC toolbox (Barnett and Seth, 2014), the Hermes toolbox (Niso et al., 2013), the TRENTOOL toolbox (Lindner et al., 2011) for transfer entropy calculation, and the Chronux toolbox (Mitra and Bokil, 2008).”
- Digital filter design for electrophysiological data--a practical approach. (2015, unknown): “In electrophysiology, band-stop filters are almost exclusively used to suppress line (50/60 Hz) or cathode ray tube (CRT) noise and should be replaced by time domain regression-based approaches (Mitra and Bokil, 2007) as, e.”
- Distractor anticipation during working memory is associated with theta and beta oscillations across spatial scales (2024, unknown): “LFP and EEG data were processed and analyzed in MATLAB (MathWorks, Natick, MA, USA) primarily using the FieldTrip MATLAB toolbox (Oostenveld et al., 2011) and the Chronux Toolbox (Mitra and Bokil 2008, http://www.chronux.org).”