Models of Higher Cognition
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
- Perception & Psychophysics,
- Concepts & Categories,
- and Reasoning & Problem Solving.
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.
March 2019:Frank gave a lecture on Bayesian Reverse-Engineering in Cognitive Science at the International Interdisciplinary Computational Cognitive Science Spring School
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.
September 2018: We helped organize the biannual conference of the German Cognitive Science Society: KogWis 2018.
August 2018: Frank gave an invited talk at Fechner Day 2018.
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.