We tested which model mechanisms best explain how six animals learn attention sets and found a common set of most-important behavioral mechanisms that account for learning success.When learning attention sets is easy value based reinforcement learning and working memory are powerful, but when learning problems are more complex learning is more efficient with attention and […]
A long-standing open question is how brain circuits learn what information is behaviorally relevant and should be attended. We have a new key insight to this question published in the paper “Adaptive Reinforcement Learning is causally supported by Anterior Cingulate Cortex and Striatum” (Neuron, pdf). We found that brief 0.3 s electrical stimulation at the […]
The 2015 BrainDay at Waterloo University hosted Thilo for a lecture for the neuroscience section. Brainday is a highly inspiring event organized by the Centre for Theoretical Neuroscience at Waterloo and the University to discuss brain topic from four different fields in a unifying daylong setting (Psychology, Philosophy, Systems Neuroscience, Theoretical Neuroscience). The talk at […]
