Dimitrije Markovic
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Geciteerd door
Power laws and self-organized criticality in theory and nature
D Marković, C Gros
Physics Reports 536 (2), 41-74, 2014
Neuronal message passing using Mean-field, Bethe, and Marginal approximations
T Parr, D Markovic, SJ Kiebel, KJ Friston
Scientific reports 9 (1), 1-18, 2019
Intrinsic adaptation in autonomous recurrent neural networks
D Marković, C Gros
Neural Computation 24 (2), 523-540, 2012
Self-organized chaos through polyhomeostatic optimization
D Markovic, C Gros
Physical Review Letters 105 (6), 068702, 2010
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
Neuropsychological constraints to human data production on a global scale
C Gros, G Kaczor, D Marković
The European Physical Journal B 85 (1), 28, 2012
Active inference, belief propagation, and the bethe approximation
S Schwöbel, S Kiebel, D Marković
Neural computation 30 (9), 2530-2567, 2018
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, 2018
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
Modeling the evolution of beliefs using an attentional focus mechanism
D Marković, J Gläscher, P Bossaerts, J O’Doherty, SJ Kiebel
PLoS Comput Biol 11 (10), e1004558, 2015
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), 013106, 2013
Vertex routing models
D Markovic, C Gros
New Journal of Physics 11 (7), 073002, 2009
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
Comparative analysis of behavioral models for adaptive learning in changing environments
D Marković, SJ Kiebel
Frontiers in computational neuroscience 10, 33, 2016
Observing scale-invariance in non-critical dynamical systems
C Gros, D Marković
AIP Conference Proceedings 1510 (1), 44-53, 2013
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
Context-dependent risk aversion: a model-based approach
D Cuevas Rivera, F Ott, D Markovic, A Strobel, SJ Kiebel
Frontiers in psychology 9, 2053, 2018
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
Adaptive Interface for Mapping Body Movements to Sounds
D Marković, N Malešević
International Conference on Computational Intelligence in Music, Sound, Art …, 2018
Neuronal Sequence Models for Bayesian Online Inference
S Frölich, D Marković, SJ Kiebel
arXiv preprint arXiv:2004.00930, 2020
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Artikelen 1–20