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Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response

Davidson, PhD, R. J. Time-Resolved Dynamic Computational Modeling of Human EEG Recordings Reveals Gradients of Generative Mechanisms for the MMN Response.
Poublan-Couzardot, A., Lecaignard, F., Fucci, E., Davidson, R. J., Mattout, J., Lutz, A., & Abdoun, O. (2023). Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response. PLoS computational biology, 19(12), e1010557. https://doi.org/10.1371/journal.pcbi.1010557