Choice, uncertainty and value in prefrontal and cingulate cortex

By Matthew F. S. Rushworth, Timothy Edward John Behrens. Nature Neuroscience, 2008

903 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/96893c9d1e00213ffb8570391f7f4f7f3c2c4e56

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

An Interoceptive Predictive Coding Model of Conscious Presence (2011, background): “These areas have also been broadly implicated in representations of reward expectation and reward prediction errors in reinforcement learning contexts (see Disorders of Agency and Presence and Rushworth and Behrens, 2008).”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “ticularly prominent in the frontal midline (including the anterior cingulate cortex) (160, 348, 741, 980, 1022, 1069a), a subregion of the prefrontal cortex (PFC) implicated in behavioral monitoring (615), valuation of response outcomes (832), and other aspects of cognitive functions.”
Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex (2011, neutral): “are taken [1–3].”
Prefrontal cortex as a meta-reinforcement learning system (2018, background): “The magnitudes of R that could be obtained varied randomly across trials and independently between the two actions (distributed as 100 × β (4,4)), and were cued to the agent on each trial.”
The Integration of Negative Affect, Pain, and Cognitive Control in the Cingulate Cortex (2011, background): “12 ) nor do we provide a detailed discussion of this region's role in appetitively motivated learning and behaviour, phenomena that have been the subject of other recent review”
The Neurobiology of Decision: Consensus and Controversy (2009, neutral): “Several recent reviews have focused specifically on the role of these structures in valuation and choice (Lee, 2008; Platt and Huettel, 2008; Rushworth and Behrens, 2008).”
Neural computations associated with goal-directed choice. (2010, background): “These findings suggest a dissociation between the OFC and areas of the ACC and SMA in goal-directed choice, with the former being specialized in the encoding of stimulus values, and the latter in the encoding of action values [19,32].”
Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions. (2010, background): “DLPFC and ACC support various forms of decision-making (Rushworth and Behrens, 2008; Tanaka et al., 2004) including intertemporal choice (Figner et al., 2010; Kim et al., 2008; McClure et al., 2004, 2007).”
Decision making in recurrent neuronal circuits. (2008, methodology): “On the other hand, neural signals correlated with reward expectation have been consistently observed in the striatum, amygdala, orbitofrontal cortex (OFC), and anterior cingulate cortex (ACC) in single-unit recording from behaving animals (reviewed in Rushworth and Behrens, 2008).”
Heuristics, learning and the business angel investment decision-making process (2015, background): “…of the decision process, from robustly assessing the current state of affairs given noisy sensory signals (Li et al. 2009, 441) to determining the risks and rewards associated with a particular decision (Platt and Heutel 2008; Rushworth and Behrens 2008; Schultz et al. 2008; Yu and Dayan 2005).”
Dopamine, Affordance and Active Inference (2012, background): “This formulation sits comfortably with the affordance competition hypothesis [2], [39] and other theoretical accounts: for example, the uncertainty processing theory of motivation [40], neurobiological accounts of decision-making [41], [42] and the plurality of roles suggested by the physiology of d”
Behavioral and neural properties of social reinforcement learning (2011, background): “…cortex/medial prefrontal cortex is sensitive to cues that predict reward receipt (Tanaka et al., 2004; Knutson et al., 2005; Palminteri et al., 2009) and may play a role in general learning about the value of information and using this information for future decisions (Rushworth and Behrens, 2008).”