| P50 | author | Michael X. Cohen | Q48137926 |
| P2093 | author name string | Michael X Cohen | |
| P2860 | cites work | Neurophysiological and Computational Principles of Cortical Rhythms in Cognition | Q24630528 |
| | Neuronal oscillations in cortical networks | Q28268592 |
| | EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis | Q29547481 |
| | EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis | Q29619431 |
| | Abnormal neural oscillations and synchrony in schizophrenia | Q29619846 |
| | Delay differential analysis of time series | Q30416009 |
| | Rapid modulation of sensory processing induced by stimulus conflict. | Q30500279 |
| | Joint decorrelation, a versatile tool for multichannel data analysis | Q30834852 |
| | Delay differential analysis of electroencephalographic data | Q30844354 |
| | Comparison of different spatial transformations applied to EEG data: A case study of error processing | Q30873293 |
| | Comparison of linear spatial filters for identifying oscillatory activity in multichannel data | Q31151991 |
| | Beamformer analysis of MEG data | Q33232606 |
| | Scaling brain size, keeping timing: evolutionary preservation of brain rhythms | Q33564885 |
| | Inter- and intra-individual variability in alpha peak frequency | Q33580328 |
| | How advances in neural recording affect data analysis | Q33804881 |
| | Frontal theta as a mechanism for cognitive control | Q33955098 |
| | Imaging Brain Dynamics Using Independent Component Analysis. | Q34099869 |
| | Brainstorm: a user-friendly application for MEG/EEG analysis | Q34961518 |
| | Individual differences in alpha frequency drive crossmodal illusory perception | Q34990204 |
| | Dimensionality reduction for large-scale neural recordings | Q35610226 |
| | Mining event-related brain dynamics | Q35761706 |
| | Synchronized neural oscillations and the pathophysiology of Parkinson's disease. | Q38154792 |
| | A neural microcircuit for cognitive conflict detection and signaling | Q38230763 |
| | A practical guide to the selection of independent components of the electroencephalogram for artifact correction. | Q38384238 |
| | When brain rhythms aren't 'rhythmic': implication for their mechanisms and meaning | Q38892532 |
| | Brain Oscillations and the Importance of Waveform Shape | Q39073182 |
| | Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation | Q39132169 |
| | Extracting spatial-temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition | Q40361633 |
| | A statistical comparison of EEG time- and time-frequency domain representations of error processing | Q40880726 |
| | OpenMEEG: opensource software for quasistatic bioelectromagnetics | Q42414066 |
| | Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior | Q46471162 |
| | Subthreshold muscle twitches dissociate oscillatory neural signatures of conflicts from errors | Q46585599 |
| | On the interpretation of weight vectors of linear models in multivariate neuroimaging | Q47199694 |
| | Theta EEG dynamics of the error-related negativity | Q48309750 |
| | Recipes for the linear analysis of EEG. | Q51377354 |
| P433 | issue | 7 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 2454-2465 | |
| P577 | publication date | 2017-10-19 | |
| P1433 | published in | European Journal of Neuroscience | Q5412733 |
| P1476 | title | Using spatiotemporal source separation to identify prominent features in multichannel data without sinusoidal filters | |
| P478 | volume | 48 | |