Centre for Artificial Intelligence and Neuroscience
© Unsplash

Interdisciplinary research at the interface of neuroscience, psychiatry, and computer science

caian is a research centre within the Transdisciplinary Research Area "Life and Health" at University of Bonn, which aims to enhance our understanding of life across theoretical and disciplinary boundaries.

We investigate the human brain, cognition, and behaviour from a transdisciplinary perspective, drawing on the fields of neuroscience, computer science, and psychology. Using artificial intelligences as scientific discovery models and as research tools, we seek to understand biological intelligence, how it is enabled in the central nervous system, and how it fails in neuropsychiatric disorder.

We are part of the Bonn-Cologne node of the Bernstein Network Computational Neuroscience.

News
© Photo: Steven Lieu/University of Bonn
Dominik Bach Wins Grant for Building New Brain Scan Facility
We are excited to announce that over the course of the next three years, Professor Bach will install and establish an infrastructure for OPMEG research at University of Bonn's medical campus.
Dec 10, 2025
© Universität Bonn
First caian talk to take place on 27. October 2025
caian talks is a new lecture series, hosted by Prof. Dominik Bach and the Centre for Artificial Intelligence and Neuroscience at University of Bonn. The event series is launched in October 2025, and will present guest talks by researchers in the field of cognitive and computational neuroscience on a regular basis. It is a hybrid format, taking place on Campus Poppelsdorf and on Zoom. 
Oct 27, 2025
© D. Bach
New Preprint on 94 Empirical Benchmarks for Associative Learning Models
A consortium of 21 learning experts surveyed the literature and expert community for robust empirical phenomena, which we graded by reproducibility and generality. Surprisingly, some findings diverge markedly from "textbook knowledge". Read the preprint here: osf.io/qsgz8
Oct 23, 2025
© D. Bach
New Article on Experiment-Based Calibration in Psychology Published
This new paper in the Journal of Mathematical Psychology analyses experiment-based validation in a probability-theoretic model. We show that the boundary conditions of this approach also apply to any form of criterion validity, e.g. classical convergent validity. If competing measurement methods tap into different latent variables, calibration will favour methods that tap into the latent variable most closely related to the experimental manipulation. Finally, we provide a simple data-generating formalism that can be used for simulations.
Sep 15, 2025
Events
© D.Bach
Wednesday Dec 03, 2025
“Attack Mode: On!” – Test your reaction skills in virtual reality
Centre for AI and ...
10:00 AM - 12:00 PM
Panther. Bear. Snakes. Threats that we rarely encounter around here, but that are notoriously difficult to escape from. Would you like to test your skills and ...
© K. Armaos
Wednesday Nov 19, 2025
caian talk 19/11/2025 with Manos Konstantinidis
Institute of Computer ...
01:00 PM - 02:00 PM
Guest Talk by Manos Konstantinidis (University of Warwick) on "Sources of information and confidence in experiential risky choice". Research on ...
© K. Armaos
Wednesday Oct 29, 2025
caian talk 29/10/2025 with Ondřej Zíka
Institute of Computer ...
01:00 PM - 02:30 PM
Guest talk by Ondřej Zíka (University College Dublin) on "Computational markers of uncertainty sensitivity as predictors of longitudinal changes in ...

Research 

Researchers

© D. Bach/Uni Bonn

Hertz Chair for Artificial Intelligence and Neuroscience

Prof. Dr. Dr. Dominik Bach

PI of the Critical Intelligence Lab

© F. De Lange/Uni Bonn

Chair for Computational Neuroscience

Prof. Dr. Floris de Lange

PI of the Predictive Brain Lab

Research Interests 

Grant Funding

nrw_mkw_4c_engl_pfade_1_2020_rgb.jpg
© MK NRW
ESCR
© UKRI

Contact Us

Office Administration

Please direct general inquiries and questions related to teaching to our office manager, Anja Menke.

Contact

+49 (0)228 / 7369530

caian.office@uni-bonn.de

Address

Room 4.16
Am Propsthof 49
53121 Bonn

Research Management

Please direct questions regarding grant proposals, grant funing, ethics applications, and press inquiries to our research coordinator, Merle Ingenfeld.

Contact

+49 (0)228 / 7369533

caian.admin@uni-bonn.de

Address

Room 4.15
Am Propsthof 49
53121 Bonn

Participant Management

Please direct any questions regarding scheduling or further information on specific studies to our research team.

Address

Ground Floor Lab Space
Am Propsthof 49
53121 Bonn

Directions

Location: 

Am Propsthof 49 in 53121 Bonn, Germany

Our lab is located on University of Bonn's Natural Sciences Campus in Endenich.

Limited street parking is available. 

Locate us on Google Maps.

How to reach us via public transport

Public transport stops nearby include several bus lines and a train stop:

  • buses 631, 633 (exit "Gerhard Domack Strasse" or "Propsthof Nord"), 
  • buses 608, 609, 610, 611 (exit "Verdistrasse"),
  • U-Bahn line 16 (exit "Propsthof Nord").