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Fractal dimension analysis of states of consciousness and unconsciousness using transcranial magnetic stimulation.

, , , , , , , , , and . Comput. Methods Programs Biomed., (2019)

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A new computational measure for detection of extrapyramidal symptoms., , , and . IWBBIO, page 13-22. Copicentro Editorial, (2014)Neurocomputational Model of EEG Complexity during Mind Wandering., and . Frontiers Comput. Neurosci., (2016)A Comparison between Theoretical and Experimental Measures of Consciousness as Integrated Information in an Anatomically Based Network of Coupled Oscillators., and . Complex., (2018)Schizophrenia classification using machine learning on resting state EEG signal., , , and . Biomed. Signal Process. Control., 79 (Part): 104233 (2023)Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity., , and . Int. J. Neural Syst., 29 (4): 1850024:1-1850024:17 (2019)Fractal dimension analysis of states of consciousness and unconsciousness using transcranial magnetic stimulation., , , , , , , , , and . Comput. Methods Programs Biomed., (2019)Editorial: Complex network dynamics in consciousness., , , , and . Frontiers Comput. Neurosci., (February 2023)Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach., , , , and . Sensors, 23 (21): 8722 (October 2023)Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalograms., , and . EMBC, page 7873-7876. IEEE, (2015)Fast computation of fractal dimension for 2D, 3D and 4D data., , , , and . J. Comput. Sci., (January 2023)