Orbitofrontal cortex and its contribution to decision-making.
By Jonathan D. Wallis. Annual Review of Neuroscience, 2007
901 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/2194b0c88ef4f79e7f8547febc2739593229cc8b
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In Cognitive Neuroscience
- Gianluca Baldassarre
- Antonio Rangel
- Matthew Botvinick
- Yael Niv
- Francesco Mannella
- Marco Mirolli
- Xiao-Jing Wang
- Paul Cisek
Citations in the corpus
- Reward-based training of recurrent neural networks for cognitive and value-based tasks (2016, background): “Moreover, since expected reward is closely related to decision confidence in many of the tasks considered, a value network that nonli-nearly reads out confidence information from the decision network is consistent with experimental findings in which OFC inactivation affects the ability to report con”
- Neural mechanisms for interacting with a world full of action choices. (2010, background): “In turn, the prefrontal areas receive information pertinent to action selection that include object identity from the temporal lobe (Pasupathy & Connor 2002, Tanaka et al. 1991) and subjective value from the orbitofrontal cortex (Padoa-Schioppa & Assad 2008, Schultz et al. 2000, Wallis 2007).”
- The contribution of neuroscience to consumer research: A conceptual framework and empirical review (2013, background): “In particular, the OFC is associated with the evaluation of trade-offs and the expected capacity of outcomes to satisfy one’s needs (Wallis, 2007).”
- Development of Large-Scale Functional Brain Networks in Children (2009, background): “Paralimbic areas play a major role in detection of salient environmental events [71], in facilitating flexible behaviors in response to risk, reward, and punishment [72,73], and in goal directed behavior [74].”
- Functional magnetic resonance imaging in consumer research: A review and application (2011, background): “Overall, the OFC integrates sensory and affective information from different regions of the brain to derive the value of a potential reward outcome, including the assessment of trade-offs and the determination of how well the outcome will meet actual needs (Kringelbach, 2005; Wallis, 2007).”
- Neurons in the Frontal Lobe Encode the Value of Multiple Decision Variables (2009, background): “One possible distinction is that the OFC is more important for encoding the reward outcome, whereas the ACC and/or the LPFC encodes the costs involved in obtaining that reward (Rushworth & Behrens, 2008; Lee, Rushworth, Walton, Watanabe, & Sakagami, 2007; Wallis, 2007).”
- Naturalizing aesthetics: Brain areas for aesthetic appraisal across sensory modalities (2011, positive): “There is, in fact, an abundant neuroimaging literature in humans (most of it distinct from the neuroaesthetic banner) showing that the OFC is reliably activated during tasks that require people to make appraisals of the quality of objects, both art and non-art objects (Kringelbach, 2005; Wallis, 200”
- Adolescent risky decision-making: Neurocognitive development of reward and control regions (2010, result): “Together with the finding that activation in VMPFC regions in all participants is associatedwith HighRisk choices and with the receipt of gain feedback, these individual differences data stress the need for a better understanding of the role of sub regions of VMPFC and their development (Kringelbach”
- Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. (2013, background): “…information from ITC about the resources available in the environment, and from limbic areas such as the amygdala (Amg, a subcortical system playing a key role in emotional processes, see below) about internal current needs and drives, and the consequent value assigned to resources (Wallis, 2007).”
- Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates. (2012, positive): “This function has been linked to a role in goal-directed decision making (Frank & Claus, 2006; Roberts, 2006; Rolls, Everitt, & Roberts, 1996; Schoenbaum & Setlow, 2001; Schultz, Tremblay, & Hollerman, 2000; Wallis, 2007), based in part on studies demonstrating OFC involvement in revaluation phenome”
- Visual fixations and the computation and comparison of value in simple choice (2010, neutral): “2635" language="eng" relation="no"> There is a growing consensus in behavioral neuroscience that the brain makes simple choices by first assigning a value to all of the options under consideration and then comparing the”
- Emotion and the Prefrontal Cortex: An Integrative Review (2017, background): “…Dixon & Christoff, 2014; Haber & Behrens, 2014; Lane et al., 2015; McDannald et al., 2012; Ochsner & Gross, 2005; Ochsner & Gross, 2014; Rolls, 2004; Rudebeck & Murray, 2014; Rushworth et al., 2011; Shackman et al., 2011; Sharpe & Schoenbaum, 2016; Vogt, 2009b; Wager et al., 2008; Wallis, 2007).”
- The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (2010, background): “The success of the DDM in the realm of perceptual decision making has lead several groups in neuroeconomics to speculate that the same computational model might be used by the brain to make simple value based choices (Gold & Shadlen, 2007; Rangel, 2008; Rangel, Camerer, & Montague, 2008; Rangel & Ha”
- Orbitofrontal cortex as a cognitive map of task space (2014, positive): “Many studies have shown that orbitofrontal cortex (OFC) is important for learning and decision making (see reviews by Murray et al., 2007; Wallis, 2007; Padoa-Schioppa, 2011; Rushworth et al., 2011).”