Attentional Selection Can Be Predicted by Reinforcement Learning of Task-relevant Stimulus Features Weighted by Value-independent Stickiness von Balcarras, Matthew, Ardid, Salva, Kaping, Daniel, Everling, Stefan, Womelsdorf, Thilo

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“Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly von Ardid, Salva, Balcarras, Matthew, Womelsdorf, Thilo

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A Flexible Mechanism of Rule Selection Enables Rapid Feature-Based Reinforcement Learning von Balcarras, Matthew, Womelsdorf, Thilo

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