More specifically, I am interested in understanding how neuro-cognitive processes in the brain result in flexible and adaptive learning behaviours. Towards this goal, I am interested in investigating what computational mechanisms enable learning of the stable properties of the environment while enabling flexible, generalizable behaviours to deal with non-stationarities in the environment. Relatedly, I am also keen on exploring how this relates to other neuro-cognitive aspects such as memory, reinforcement learning and cognitive control. Concurrently, my other work involves developing efficient and tractable Bayesian inference methods for computational models that jointly account for the processes underlying human decision-making and learning.
Publications
Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models
Krishn Bera, Alexander Fengler, Michael J. Frank
6th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM, 2025
Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models
Krishn Bera, Alexander Fengler, Michael J. Frank
47th Annual Meeting of the Cognitive Science Society, CogSci, 2025
View all
Contact
Krishn Bera
PhD student, Cognitive Science
Dept. of Cognitive, Linguistic & Psychological Sciences
Metcalf Research Building
190 Thayer St
Providence, RI (US) 02912