Our research group has a broad interest in both fundamental and applied cognitive science. Rather than try and give a comprehensive list, below is a snapshot of the projects that we worked on in 2022. Please also feel free to take a look at our publications to see what kinds of things we are interested in.
Decision Making
In one decision-making project, we are looking at the relationship between how confident one feels after making a decision and the willingness to seek out more information. There are many forms that more information can take. We are interested in the distinction between information that informs one’s own evidence accumulation process (e.g., asking to look at the existing information again), and asking for advice about the decisions itself (e.g., asking for a recommendation about the eventual choice to be made). At its core, we want to understand the different ways that low confidence can manifest – when do people decide that they can’t decide alone, and seek external advice?
In another decision-making project, we want to understand what makes different models distinct. When it comes to simple perceptual decisions (e.g., is this patch of moving dots moving coherently to the left or right), most theories share a lot of assumptions. For example, almost all theories assume that information about the potential responses is collected and accumulated until one response has sufficient evidence to warrant its choice. Within this framework of decision-making models, there are lots of variants – e.g., some assume that responses inhibit one another, while others assume independence. In one project, we are looking at what are the consequences of having different assumptions.
Information for students
Studies and Teaching Information for students Please find information regarding our lectures, exam dates and literature in the corresponding LSF and moodle repositories.
Summer semester:
SP Statistik 2 – d
Seminar Statistik - d
BSc VL EF Statistik NF BSc - e (mit deutschen Übungsaufgaben)
ab 23/24: WP Intro to AI in LS
MSc LS research project module
PhD LS P3.1 LS: Vertiefung zu den Methoden / Advanced Methods course AI in LS
Winter semester:
SP VL Statistik 1 – d
Seminar Statistik 1 - d
NCP NCP/DTP: P2.2 "Statistical and Computational Neuroscience", VL
NCP NCP: WP 5.2 Computationale Modellierung und wissenschaftliche Programmierung, UK
MSc LS P1.4 Introduction to Neurocognitive Aspects of Learning and Development
MSc LS research project module
PhD LS P1.1 WS
Information for students
Studies and Teaching Information for students Please find information regarding our lectures, exam dates and literature in the corresponding LSF and moodle repositories.
Summer semester:
SP Statistik 2 – d
Seminar Statistik - d
BSc VL EF Statistik NF BSc - e (mit deutschen Übungsaufgaben)
ab 23/24: WP Intro to AI in LS
MSc LS research project module
PhD LS P3.1 LS: Vertiefung zu den Methoden / Advanced Methods course AI in LS
Winter semester:
SP VL Statistik 1 – d
Seminar Statistik 1 - d
NCP NCP/DTP: P2.2 "Statistical and Computational Neuroscience", VL
NCP NCP: WP 5.2 Computationale Modellierung und wissenschaftliche Programmierung, UK
MSc LS P1.4 Introduction to Neurocognitive Aspects of Learning and Development
MSc LS research project module
PhD LS P1.1 WS