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Goal-Driven Cognition in the Brain: A Computational Framework
Current theoretical and computational models of dopamine-based reinforcement learning are largely rooted in the classical behaviorist tradition, and envision the organism as a purely reactiveExpand
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Neural mechanisms of human decision-making
We present a computational and theoretical model of the neural mechanisms underlying human decision-making. We propose a detailed model of the interaction between brain regions, under aExpand
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A systems-neuroscience model of phasic dopamine.
We describe a neurobiologically informed computational model of phasic dopamine signaling to account for a wide range of findings, including many considered inconsistent with the simple rewardExpand