Power laws and self-organized criticality in theory and nature D Marković, C Gros Physics Reports 536 (2), 41-74, 2014 | 309 | 2014 |
Neuronal message passing using Mean-field, Bethe, and Marginal approximations T Parr, D Markovic, SJ Kiebel, KJ Friston Scientific reports 9 (1), 1889, 2019 | 125 | 2019 |
Inferring neuronal dynamics from calcium imaging data using biophysical models and Bayesian inference V Rahmati, K Kirmse, D Marković, K Holthoff, SJ Kiebel PLoS computational biology 12 (2), e1004736, 2016 | 53 | 2016 |
Active inference, belief propagation, and the bethe approximation S Schwöbel, S Kiebel, D Marković Neural computation 30 (9), 2530-2567, 2018 | 37 | 2018 |
Intrinsic adaptation in autonomous recurrent neural networks D Marković, C Gros Neural Computation 24 (2), 523-540, 2012 | 35 | 2012 |
Self-organized chaos through polyhomeostatic optimization D Markovic, C Gros Physical Review Letters 105 (6), 068702, 2010 | 35 | 2010 |
Vector autoregressive hierarchical hidden Markov models for extracting finger movements using multichannel surface EMG signals N Malešević, D Marković, G Kanitz, M Controzzi, C Cipriani, C Antfolk Complexity 2018, 1-12, 2018 | 34 | 2018 |
An empirical evaluation of active inference in multi-armed bandits D Marković, H Stojić, S Schwöbel, SJ Kiebel Neural Networks 144, 229-246, 2021 | 29 | 2021 |
Neuropsychological constraints to human data production on a global scale C Gros, G Kaczor, D Marković The European Physical Journal B 85, 1-5, 2012 | 26 | 2012 |
Balancing control: a Bayesian interpretation of habitual and goal-directed behavior S Schwöbel, D Marković, MN Smolka, SJ Kiebel Journal of mathematical psychology 100, 102472, 2021 | 22 | 2021 |
Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models (VARHHMM) N Malešević, D Marković, G Kanitz, M Controzzi, C Cipriani, C Antfolk 2017 International Conference on Rehabilitation Robotics (ICORR), 1518-1523, 2017 | 21 | 2017 |
Deterministic response strategies in a trial-and-error learning task H Mohr, K Zwosta, D Markovic, S Bitzer, U Wolfensteller, H Ruge PLoS computational biology 14 (11), e1006621, 2018 | 19 | 2018 |
Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales D Marković, T Goschke, SJ Kiebel Cognitive, Affective, & Behavioral Neuroscience 21, 509-533, 2021 | 18 | 2021 |
Comparative analysis of behavioral models for adaptive learning in changing environments D Marković, SJ Kiebel Frontiers in Computational Neuroscience 10, 33, 2016 | 16 | 2016 |
Modeling the evolution of beliefs using an attentional focus mechanism D Marković, J Gläscher, P Bossaerts, J O’Doherty, SJ Kiebel PLoS computational biology 11 (10), e1004558, 2015 | 13 | 2015 |
Predicting change: Approximate inference under explicit representation of temporal structure in changing environments D Marković, AMF Reiter, SJ Kiebel PLoS computational biology 15 (1), e1006707, 2019 | 11 | 2019 |
Dynamic integration of forward planning and heuristic preferences during multiple goal pursuit F Ott, D Marković, A Strobel, SJ Kiebel PLoS computational biology 16 (2), e1007685, 2020 | 7 | 2020 |
Criticality in conserved dynamical systems: Experimental observation vs. exact properties D Marković, C Gros, A Schuelein Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (1), 2013 | 7 | 2013 |
Vertex routing models D Markovic, C Gros New Journal of Physics 11 (7), 073002, 2009 | 7 | 2009 |
Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities C Gros, R Valenti, L Schneider, B Gutsche, D Marković Plos one 16 (4), e0247272, 2021 | 6 | 2021 |