Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal.

By Michael J Frank, Eric D. Claus. Psychology Review, 2006

611 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d5cc152a8ab42d5a54ccc522b68479ee56d93b53

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In Cognitive Neuroscience

Citations in the corpus

Automatic and controlled processes and the development of addictive behaviors in adolescents: a review and a model. (2007, background): “Finally, it should be noted that approach and avoidance reactions can be viewed as a bipolar continuum, but that it is also possible that approach and avoidance reactions are based upon separate processes (e.g. Cacioppo and Berntson, 1994; Gray, 1990; Frank and Claus, 2006).”
Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective (2008, background): “…have been advanced to address issues as diverse as motor control (e.g., Miyamoto, Morimoto, Doya, & Kawato, 2004), working memory (e.g., O'Reilly & Frank, 2006), performance monitoring (e.g., Holroyd & Coles, 2002), and the distinction between habitual and goal-directed behavior (e.g., Daw, Niv,…”
Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function (2007, background): “…the portion of the model addressing the deck selection step, as well as the mechanism for adjusting weights within it, could be implemented in more detail, and in neuroscientifically explicit terms, on the basis of the recent work of Frank and colleagues (Frank, 2005a; Frank & Claus, 2006).”
Motivation and cognitive control: from behavior to neural mechanism. (2015, background): “F or p er so na l u se o nl y. PS66CH04-Botvinick ARI 11 November 2014 14:31 appear to be a plausible candidate to mediate in effort-based choice, given the key role it is widely believed to play in go/no-go decisions in general (Frank & Claus 2006).”
The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World (2008, background): “…has been modeled to shape action selection and reward anticipation behavior in both simulated agents and neurorobots (Alexander & Sporns, 2002; Frank & Claus, 2006; Frank, Seeberger, & O’Reilly, 2004; Krichmar & Edelman, 2002; Krichmar, Seth, Nitz, Fleischer, & Edelman, 2005; Sporns &…”
On the Relationships between Generative Encodings, Regularity, and Learning Abilities when Evolving Plastic Artificial Neural Networks (2013, background): “Such feedback loops are often present in computational models of cortex-basal ganglia-thalamuscortex loops for action selection [31–33] and are implicit in actorcritic models of reinforcement learning [30].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “0 (see also [128] for a nice discussion of the anatomy of a decision).”
FROM REINFORCEMENT LEARNING MODELS OF THE BASAL GANGLIA TO THE PATHOPHYSIOLOGY OF PSYCHIATRIC AND NEUROLOGICAL DISORDERS (2011, background): “The OFC has been hypothesized to implement working memory for state reinforcement values, helping to guide action selection when these values change rapidly, among other scenario”