Dr Adrian Fischer | Dissociating reward- and information-based learning using EEG and fMRI

Human decision making often involves weighting of values obtained via the rewarding quality of experience, but can uniquely incorporate more abstract aspects such as information about possible long-term consequences. While the former is computationally simple and efficient, the latter requires utilization of a model about the world. I will present results of two studies aiming to disentangle unique learning mechanisms for both propensities. The first will focus on the cortical temporal dynamics of learning from reward compared to information revealed in the human EEG. The second will focus on regional specificity of neural correlates of learning from model-free and model-based outcomes that dissociate ventral from dorsal striatum in the fMRI.