Background: Diploma in Psychology (Dipl.-Psych.), Ph.D. in Cognitive Neuroscience
contact: glaescher [at] uke.de
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: B.Sc. in Neurobiology, M.Sc. in Brain and Mind Science, Ph.D. in Psychology
contact: c.korn [at] uke.de
I am interested how value-based decision-making is guided by homeostatic demands and how game-theoretic principles of social interaction are computed and represented in the human brain. In addition, in my current work I am also investigating how learning shapes multi-sensory cue integration using uni- and multivariate fMRI analyses and connectivity analyses in cross-modal learning tasks.
PhD and aster Students
Background: B.Sc. in Cognitive Science, M.Sc. in Neuro-cognitive Psychology
contact: t.rusch [at] uke.de
I am interested in understanding how we represent other humans’ mental states (mentalizing). I use EEG hyperscanning and computational modeling to approach this topic. To gain additional information from hyperscanning in comparison to single person EEG, we developed an interactive paradigm that requires a continuous representation of the mental processes of the other person.
Background: B.Sc. in Psychology, M.Sc. in Cognitive Science
contact: lei.zhang [at] uke.de, web: www.lei-zhang.net
My research applies knowledge from cognitive neuroscience, psychology and computational modeling to gain a comprehensive understanding of how the brain computes value and processes social information when making decisions. For that, I use functional magnetic resonance imaging (fMRI) and Bayesian hierarchical modeling.
Background: B.Sc. in Chemistry, M.Sc. in Biology
contact: s.chien [at] uke.de
I’m interested in machine learning/AI, especially Bayesian inference, deep learning, and reinforcement learning. My current project incorporates reinforcement learning based computation models in conjunction with fMRI to further understand value based decision making process in the brain.
Background: medical student
contact: j_spilcke-liss [at] gmx.de
I am interested in how the brain processes cross-modal integration and congruence. My research project is investigating how semantic congruence between an visual image and an auditory sound affects multi-sensory integration in the human brain, which I am investigating with fMRI.
Background: B.Sc. in Psychology, M.Sc. in Cognitive Neuroscience
contact: s.redzepovic [at] uke.de
I am interested in investigating the interaction of multisensory integration and value-based decision-making using multivariate pattern analysis of fMRI. In particular, I am interested how unisensory pattern are modified through value-based learning and how that propagates to cue integration in multimodal brain regions.
Associated Lab Members
Position: Postdoctoral Scholar, Dept. of Computer Science, Technical University Berlin
Background: M.Sc. in Computer Science, Ph.D. in Computer Science
I am interested in how the reliability of cue information affects the valuation and decision-making process. Furthermore, I investigate how hierarchical prediction errors are represented in the human brain.
Position: Associate Professor, Dept. of Psychology, Scripps College, Claremont, CA
Background: PhD in Biochemistry, PhD in Neuroscience
I am interested in the computational and neural underpinnings of altruistic and other virtuous behavior in humans and how that unfolds in a social context.
Position: Postdoc (now postdoc at NIH)
Background: B.Sc. in Neuro-cognitive Psychology, M.Sc. in Neuro-cognitive Psychology, PhD in Psychology
contact: martin.hebart [at] gmail.com
I work on how we represent a model of our world to make decisions. In addition, I am interested in perceptual decision-making and confidence, and how visual processing is affected by top-down attention and expectations. I like developing new methods of data analysis and for that purpose have developed a toolbox for multivariate analysis of brain patterns (The Decoding Toolbox).