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
Krishn Bera, Alexander Fengler, Michael J. Frank
5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM, 2022, pp. 91-96
Alexander Fengler, Krishn Bera, Mads L. Pedersen, Michael J. Frank
Journal of Cognitive Neuroscience, vol. 34(10), 2022 Sep, pp. 1780-1805
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