PhD Colloquium: Modulation of Learning during Human Decision-Making

30 January 2019

Real-life decisions involve the consolidation of inherent and acquired values. This study demonstrates that the congruence between inherent value and ac-quired reward influences the neural coding of learning rate. Neuroimaging results also reveal that the signals of learning rate, prediction error, and acquired value follow the Rescorla–Wagner learning rule, further confirm the reinforce-ment-learning model through functional connectivity.

Wednesday, 30 January 2019, 10:00, Informatikum, Room F-3340

Samson Chien, University of Hamburg