Concepts are the building blocks of knowledge. We study how new concepts are learned and how these concepts are rooted in perception. We are also interested in how concept formation and problem solving interact.
More broadly, the lab works on
Our general approach is to try and combine insights from experimental psychology and artificial intelligence (machine learning in particular) to build models of higher cognition.
October 2020: Christina joined our team as a PhD student working on criterion learning. Welcome!
April 2020: Claire joined our team as PhD student in the PlexPlain project. Welcome!
October 2019: We're looking for another PhD student to join us in a project on learning in models of perceptual decision making: . This is a joint project together with read the job ad at the University of Mainz. Maik Stüttgen
September 2019: Vildan joined our team as a PhD student. Welcome!
January 2019: Thea joined our team as a PhD student. Welcome!
December 2018: Two of our papers came out (not representative of what we usually do): A Textual Recommender System for Clinical Data & A stochastic model of myeloid cell lineages in hematopoiesis and pathway mutations in acute myeloid leukemia.
November 2018: Frank gave talks in Lausanne and Bern on Bayesian Reverse Engineering in Cognitive Science.
October 2018: Max started as a PhD student in the lab. Welcome!
September 2018: Frank visited Peking University.
July 2018: We are looking for PhD students and post docs to join the lab. Please contact us if you're interested. The application deadline is end of July.