Steven Miletic
Assistant professor
- Name
- Dr. S. Miletic
- Telephone
- +31 71 527 2727
- s.miletic@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-7399-2926
Steven Miletić's research focuses on cognitive and neural modelling of decision and learning processes in humans, with emphasis on the human subcortex and on advanced methodology including hierarchical Bayesian approaches and ultra-high field fMRI. .
More information about Steven Miletic
PhD candidates
Steven Miletić's research focuses on cognitive and neural modelling of decision and learning processes in humans, with emphasis on the human subcortex and on advanced methodology including hierarchical Bayesian approaches and ultra-high field fMRI.
Research
Miletić's research aims to understand the cognitive and neural processes that underlie human decision making and error-driven learning. Through advanced modelling of behavioural data (response time distributions, accuracy, learning patterns) and neural data (BOLD responses measured with ultra-high field fMRI) of decision making tasks, the ultimate goal is to obtain a joint understanding of the behavioural and neural processes that underlie decision making. Typical modelling frameworks include evidence accumulation models (EAMs; e.g., the diffusion decision model and racing diffusion models), reinforcement learning models, and Bayesian estimation approaches. On the neural side, his work puts a strong emphasis on the subcortical contributions to human behavior, including the basal ganglia and dopaminergic midbrain.
Recent projects include studying and modelling sequential patterns in choice behaviour; studying vasculature, the development of joint BOLD-fMRI-EAM modelling techniques; and combining reinforcement learning and evidence accumulation models. He also continuously works on methods to improve signal quality of 7 Tesla fMRI in the human subcortex.
Teaching
Miletić teaches the courses Cognitive Neuroscience, Introduction to Cognitive Science, Cognition and Computation and Neurochemistry.
Short CV
Miletić obtained his PhD (cum laude) at the integrative model-based cognitive neuroscience group (IMCN) at the University of Amsterdam. His dissertation focused on modelling structure and function of the human subcortex. The human subcortex comprises approximately a quarter of the brain volume, but is systematically underrepresented in studies in cognitive neuroscience. His thesis argued that this is, for a major part, a measurement problem, and he subsequently developed methodology using 7 Tesla (f)MRI and advanced modelling to study the human subcortex. In his subsequent post-doc in the same group, he focused on the development of joint modelling techniques, on improving our understanding of the vasculature in the subcortex, and became interested in the sequential structures in behavioral data in decision making, which he believes can provide a new window into cognitive processes. In 2023, he became assistant professor at the cognitive psychology department of Leiden University.
His full CV can be found here.
Grants
- ERC Proof of Concept grant (co-applicant, 2022)
Assistant professor
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Cognitieve Psychologie
- Stevenson N., · Innes R.J., Russell Boag J.,. Miletic S., Isherwood S.J.S., Trutti A.C., Heathcote A. & Forstmann B.U. (2024), Joint Modelling of Latent Cognitive Mechanisms Shared Across Decision-Making Domains, Computational Brain & Behavior 7: 1-22.
- Trutti A.C., Sjoerds Z., Russell Boag J., Solenn Walstra L.Y., Miletić S., Isherwood S.s.J., Bazin P.J., Hommel B., Habli S., Tse D. H.Y. Håberg A.K. & Forstmann B.U. (2024), Investigating working memory updating processes of the human subcortex using 7 Tesla fMRI, eLife : .
- Boag R.J., Miletić S., Trutti A. C. & Forstmann B. U. (2024), Toward a Model-Based Cognitive Neuroscience of Working Memory Subprocesses. In: , An introduction to model-based cognitive neuroscience : Cham: Springer International Publishing. 265-302.
- Cerracchio E., Miletic S. & Forstmann B. (2023), Modelling decision-making biases, Frontiers in Computational Neuroscience 17: .
- Groot J., Miletic S., Isherwood S., Desmond H.Y., Habli S., Haberg A., Forstmann B., Bazin P.L. & Mittner M. (2023), Echoes from intrinsic connectivity networks in the subcortex, Journal of Neuroscience 43(39): 6609-6618.
- Isherwood S., Bazin P.L., Miletic S., Stevenson N., Trutti A.C., Tse D., Heathcote A., Matzke D., Innes R., Habli S., Sokolowski D., Alkemade A., Haberg A. & Forstmann B.U. (2023), Investigating intra-individual networks of response inhibition and interference resolution using 7Tt MRI, NeuroImage 271: 119988.
- Miletic S., Bazin P.L., Isherwood S.J.S., Keuken M.C., Alkemade A. & Forstmann B.U. (2022), Charting human subcortical maturation across the adult lifespan with in vivo 7 T MRI, NeuroImage 249: 118872.
- Miletic S., Keuken M.C., Mulder M.J., Trampel R., Hollander G. de & Forstmann B.U. (2022), 7T functional MRI finds no evidence for distinct functional subregions in the subthalamic nucleus during a speeded decision-making task, Cortex 155: 162-188.
- Miletic S., Boag R.J., Trutti A.C., Stevenson N., Forstmann B.U. & Heathcote A. (2021), A new model of decision processing in instrumental learning tasks, eLife 10: 1-33.
- Maanen L. van & Miletic S. (2021), The interpretation of behavior-model correlations in unidentified cognitive models, Psychonomic Bulletin & Review 28: 374-383.
- Miletic S., Bzzin P.L., Weiskopf N., Zwaag W. van der, Forstmann B.U. & Trampel R. (2020), fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7T, NeuroImage 219: 116992.
- Miletic S., Boag R.J. & Forstmann B.U. (2020), Mutual benefits: combining reinforcement learning with sequential sampling models, Neuropsychologia 136: 107261.
- Alkemade A., Hollander G. de, Miletic S., Keuken M.C., Balesar R., Boer O. de, Swaab D.F. & Forstmann B.U. (2019), The functional microscopic neuroanatomy of the human subthalamic nucleus, Brain, Structure and Function 224(9): 3213-3227.
- Miletic S. & Maanen L. van (2019), Caution in decision-making under time pressure is mediated by timing ability, Cognitive Psychology 110: 16-29.
- Snoek L., Miletic S. & Scholte H.S. (2019), How to control for confounds in decoding analyses of neuroimaging data , NeuroImage 184: 741-760.
- Turner B.M., Palestro J.J., Miletic S. & Forstmann B.U. (2019), Advances in techniques for imposing reciprocity in brain-behavior relations, Neuroscience & Biobehavioral Reviews 102: 327-336.
- Maanen L. van, Mijn R. van der, Beurden M.H.P.H. van, Roijendijk L.M.M., Kingsma B.R.M., Miletic S. & Rijn H. van (2019), Core body temperature speeds up temporal processing and choice behavior under deadlines, Scientific Reports 9(1): 10053.
- Turner B.M., Miletic S. & Forstmann B.U. (2018), Outlook on deep neural networks in computational cognitive neuroscience, NeuroImage 180: 117-118.
- Miletic S., Turner B.M., Forstmann B.U. & Maanen L. van (2017), Parameter recovery for the leaky competing accumulator model, Journal of Mathematical Psychology 76(A): 25-50.
- Miletic S. (2016), Neural evidence for a role of urgency in the speed-accuracy trade-off in perceptual decision-making, Journal of Neuroscience 36(22): 5909-5910.
- Post-doctoral researcher