Understanding the prediction error driving extinction (A15)

• Subject Area: General, Cognitive and Mathematical Psychology
• Term: from 2017 to 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 316803389

Five independent work packages will investigate fundamental predictions of summed error correction, especially that non-reinforced presentations of a cue are neither necessary nor sufficient to induce extinction. Instead, crucial factors should be type and strength of error signals triggered in the specific learning situation. Our aim is to understand how organisms integrate multiple signals to achieve a predictive model of their environment and how predictive values of multiple signals are modulated by experience in order to maintain a match between prediction and reality.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1280: Extinction Learning
• Applicant Institution: Ruhr-Universität Bochum
• Participating University: Philipps-Universität Marburg
• Project Head: Professor Dr. Harald Lachnit