Background: Diploma in Psychology (Dipl.-Psych.), Ph.D. in Cognitive Neuroscience
I am fascinated by the computations that the brain carries out, when making in a decision and how these computations are influence by external factors (e.g. the value of a decision cue). A special interest lies on social decision-making, i.e. how our choices are affected by social information of others and how social decision-making strategies (competitive, cooperative, altruistic, observational) change the underlying valuation process.
Background: PhD. in Neuroscience at Max Planck Institute for Cognitive and Brain sciences in collaboration with University of Leipzig, M.Sc. Digital Communications at Christain Albrechts University (Kiel University), B.Tech. Electronics and Communications Engineering at Ganpat Universitsy.
Currently working on interactive social decision making in varying contexts while investigating human behavior with the latest tools of Bayesian and Reinforcement learning models. My current work also involves understanding human interaction with robots and communication between humans inferred through actions. I am broadly driven by the possibilities of data science in the contemporary world and its future potential.
Personal website: https://steixnerkumar.github.io/
Background: M.Sc. in Clinical and Cognitive Neuroscience at Maastricht University
My project investigates the interplay between category learning and decision making focusing on rule-based and memory-based categorization. I am using eye-tracking, fMRI and computational modeling to disentangle these two categorization types and how they behave in the context of choice.
Background: B.Sc. in Psychology, M.Sc. in Neuro-cognitive Psychology
My research interest is to investigate the neuronal basis and computational principles underlying the Theory of Mind (ToM) during non-verbal communication. I use behavioral measures, eye-tracking, computational modeling, and neuronal data (fMRI, EEG hyperscanning) to understand peoples‘ capabilities of generating/representing mental models of other humans and how mentalizing is used to predict the behavior of others in cooperative settings.
Background: Medical Student
I am interested in how prediction errors are able to drive the learning process and update neuronal representations during value-based decision making. To investigate this topic I use computational modeling and perform multivariate pattern analyses on fMRI data.
Background: B.Sc. in Psychology at Westfälische Wilhelms-University Münster
I am interested in the neuronal basis of daily behavior such as thoughts about others (ToM) and decision making. I am excited to learn about different neuronal methods and computational modeling.
Christoph Korn – former postdoc, now Assistant Professor, Univeristy of Heidelberg
Decision Neuroscience of Human Interactions Lab
Lei Zhang – former PhD student, now postdoc with Claus Lamm, University of Vienna