Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Dimitrije Marković

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Neural Computation|November 19, 2011
Intrinsic adaptation in autonomous recurrent neural networksDimitrije Marković, Claudius Gros
Frontiers in Computational Neuroscience|May 6, 2016
Comparative Analysis of Behavioral Models for Adaptive Learning in Changing EnvironmentsDimitrije Marković, Stefan J Kiebel
Chaos (Woodbury, N.Y.)|April 6, 2013
Criticality in conserved dynamical systems: experimental observation vs. exact propertiesDimitrije Marković, Claudius Gros, André Schuelein
Neural Computation|June 28, 2018
Active Inference, Belief Propagation, and the Bethe ApproximationSarah Schwöbel, Stefan Kiebel, Dimitrije Marković
Frontiers in Artificial Intelligence|June 7, 2021
Neuronal Sequence Models for Bayesian Online InferenceSascha Frölich, Dimitrije Marković, Stefan J Kiebel
Cognitive, Affective & Behavioral Neuroscience|December 29, 2020
Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scalesDimitrije Marković, Thomas Goschke, Stefan J Kiebel
Neural Computation|February 4, 2026
Reframing the Expected Free Energy: Four Formulations and a UnificationThéophile Champion, Howard Bowman, Dimitrije Marković, et al.
Plos Computational Biology|February 19, 2020
Dynamic integration of forward planning and heuristic preferences during multiple goal pursuitFlorian Ott, Dimitrije Marković, Alexander Strobel, et al.
Frontiers in Behavioral Neuroscience|November 3, 2022
Revealing human sensitivity to a latent temporal structure of changesDimitrije Marković, Andrea M F Reiter, Stefan J Kiebel
Plos Computational Biology|July 5, 2024
Joint modeling of choices and reaction times based on Bayesian contextual behavioral controlSarah Schwöbel, Dimitrije Marković, Michael N Smolka, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Neural Computation|November 19, 2011
Intrinsic adaptation in autonomous recurrent neural networksDimitrije Marković, Claudius Gros
Frontiers in Computational Neuroscience|May 6, 2016
Comparative Analysis of Behavioral Models for Adaptive Learning in Changing EnvironmentsDimitrije Marković, Stefan J Kiebel
Chaos (Woodbury, N.Y.)|April 6, 2013
Criticality in conserved dynamical systems: experimental observation vs. exact propertiesDimitrije Marković, Claudius Gros, André Schuelein
Neural Computation|June 28, 2018
Active Inference, Belief Propagation, and the Bethe ApproximationSarah Schwöbel, Stefan Kiebel, Dimitrije Marković
Frontiers in Artificial Intelligence|June 7, 2021
Neuronal Sequence Models for Bayesian Online InferenceSascha Frölich, Dimitrije Marković, Stefan J Kiebel
Cognitive, Affective & Behavioral Neuroscience|December 29, 2020
Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scalesDimitrije Marković, Thomas Goschke, Stefan J Kiebel
Neural Computation|February 4, 2026
Reframing the Expected Free Energy: Four Formulations and a UnificationThéophile Champion, Howard Bowman, Dimitrije Marković, et al.
Plos Computational Biology|February 19, 2020
Dynamic integration of forward planning and heuristic preferences during multiple goal pursuitFlorian Ott, Dimitrije Marković, Alexander Strobel, et al.
Frontiers in Behavioral Neuroscience|November 3, 2022
Revealing human sensitivity to a latent temporal structure of changesDimitrije Marković, Andrea M F Reiter, Stefan J Kiebel
Plos Computational Biology|July 5, 2024
Joint modeling of choices and reaction times based on Bayesian contextual behavioral controlSarah Schwöbel, Dimitrije Marković, Michael N Smolka, et al.
Pageof 2