Dimitrije Marković

Dimitrije Marković is a Researcher in the Department of Psychology at Technische Universität Dresden, affiliated with the Faculty of Science. His work bridges cognitive neuroscience, theoretical neuroscience, and machine learning, focusing on computational models of human decision-making and adaptive behavior. He employs concepts from information theory and probability to develop and test experimental predictions from these models.

Education:

• PhD in Physics (2013), Goethe University Frankfurt, advised by Prof. Claudius Gros
• Diploma in Theoretical and Experimental Physics (2007), Belgrade University
• Undergraduate studies in Physics (2002–2007), Belgrade University

Research Focus: His research emphasizes understanding neurophysiological and computational mechanisms underlying human decision-making, particularly in dynamic environments. He explores topics like adaptive learning, Bayesian inference, and neural modeling of uncertainty and agency perception.

Publications Trends: Recent work includes advancements in active inference frameworks, machine learning models for decision-making, and applications to mental health (e.g., depression). His 2020–2025 publications highlight innovations in scalable models (e.g., AXIOM), Bayesian methods, and interdisciplinary approaches linking neuroscience with AI.

Professional Experience:

• Postdoc at TU Dresden (2014–present)
• Guest Researcher, Max-Planck Institute for Human Cognitive and Brain Sciences (2013–2015)
• Postdoc, University Clinic Jena (2013–2014)

Labs/Teams: Affiliated with TU Dresden’s Chair for Neuroimaging, focusing on neuroimaging techniques and collaborative projects in computational psychiatry and AI-driven neuroscience.