Algorithms for survival. Investigating the computing architecture of the mind and brain at its limits. 🧠
Lab account for science only.
https://www.caian.uni-bonn.de/en
We are looking forward to hosting the #NN2026 symposium tomorrow and Friday @unibonn.bsky.social. Schedule and abstracts can now be downloaded from our conference website. If you are looking for directions, we also got you covered. 🗺️
www.nn2026.uni-bonn.de/en/directions
On the train back to HH, having attended some really fascinating talks on naturalistic neuroscience in Bonn the last days! Many thanks for the great organisation & choice of speakers @bachlab.bsky.social @sabinekrabbe.bsky.social & @predictivebrain.bsky.social. Hope there'll be a next time🧠🥽 #NN2026
bachlab
How does attention drive risky choices? 🎲👁️
Join us next Wednesday for a #caiantalk by Prof. Jan B. Engelmann (@uva.nl) on "Distinguishing individual & contextual channels of attention in risky decision-making."
🕒 Wed, May 13, 13:00
📍 Am Propsthof 49, Bonn (Room 2.082) & online
🔗 Link: shorturl.at/XALsa
Hosted by Prof. Dominik Bach at caian - Centre for AI and Neuroscience at @unibonn.bsky.social
#caiantalks #neuroscience #decisionmaking #cognitivescience
How can neurocomputation help us understand gambling addiction? 🎲
Join us next Wednesday at lunch time for a #caiantalk by Prof. Jan Peters ( @peterslab.bsky.social @unicologne.bsky.social) on "Skewed mental models: a neurocomputational perspective on problem gambling."
Thanks to our research coordinator for coordinating our first symposium since inauguration.
⏰Reminder: Our next #caiantalk is taking place tomorrow!
Naturalistic Neuroscience
📢Publication Alert: New Paper on Human Pavlovian Fear Conditioning!
It has been speculated that psychophysiological responses to an outcome during learning could express prediction errors.
➡️ onlinelibrary.wiley.com/doi/10.1111/...
#associativelearning #psychophysiology #PavlovianFearConditioning
Sterre van de Langenberg
In our latest paper, we address this question in a large sample and in four data modalities. We find responses to outcome omission in all data modalities, but also clear and significant evidence against an expression of prediction errors.
#predictionerrors #fearconditioning
bachlab
bachlab
Pavlovian reward learning is driven by prediction errors (PE), but it remains unclear whether this is also the case for aversive learning, and to what extent PE are expressed in physiological indices...
[1/2] Join us next week at caian @UniBonn for a hybrid guest lecture by Prof. Dr. Sebastian Gluth (University of Hamburg) on "Unraveling the neural and computational principles of information integration in complex decisions".
#caiantalks #decisionmaking #neuroscience
Details below ⬇️
bachlab
Some impressions from the first day of #NN2026 yesterday.