Neural signature of fictive learning signals in a sequential investment task

By T. Lohrenz, Kevin McCabe, Colin F. Camerer, P. R. Montague. Proceedings of the National Academy of Sciences of the United States of America, 2007

304 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/d7aa616161f00865dd153bebdbf3519be55f0384

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In Cellular and Molecular Neuroscience

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Citations in the corpus

Ten ironic rules for non-statistical reviewers (2012, background): “Recently, there has been a pressure to increase sample sizes in functional neuroimaging; both in terms of editorial requirements and the incidence of large cohort studies (e.g., Lohrenz et al., 2007).”
Social and monetary reward learning engage overlapping neural substrates. (2012, background): “…approach deviates from the usual practice in neuroscience studies of reinforcement learning (Pessiglione et al., 2006, 2008; Seymour et al., 2007; Lohrenz et al., 2007; Hare et al., 2008; Wunderlich et al., 2009) in which it is customary to fit the values of the SV signal based on the…”
Neuronal Reward and Decision Signals: From Theories to Data. (2015, methodology): “A similar calculation is used for incorporating fictive outcomes into gamble values (329).”
Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning (2012, background): “Various notions of foregone payoffs have been studied in neuroimaging experiments of decision-making and reward learning, including ﬁ ctive error, regret, and counterfactuals (22 – 24).”
Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex (2011, background): “This is necessarily difficult to establish in any paradigm in which there is a systematic relationship between the outcomes of counterfactual and experiential choices [11,12].”
Trial-by-trial data analysis using computational models (2011, unknown): “…et al., 2004; Barraclough et al., 2004; Samejima et al., 2005; Daw et al., 2006; Li et al., 2006; Frank et al., 2007; Tom et al., 2007; Kable and Glimcher, 2007; Lohrenz et al., 2007; Schonberg et al., 2007; Wittmann et al., 2008; Hare et al., 2008; Hampton et al., 2008; Plassmann et al., 2008).”
The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value (2013, unknown): “A similar functional subdivision has been observed in other contexts (Lohrenz et al., 2007).”
Generalization of value in reinforcement learning by humans (2012, background): “…additional neural circuitry subserving this function, we nevertheless also observed the now-standard correlates of reward prediction error in the ventral striatum (Knutson et al., 2001; McClure et al., 2003; O’Doherty et al., 2003; Delgado et al., 2005; Lohrenz et al., 2007; Hare et al., 2008).”
NEUROECONOMICS: A CRITICAL RECONSIDERATION (2008, background): “So it is impossible to know what to make of efforts by Lohrenz et al. (2007) to discriminate between experiential and fictitive (counter-factual) reinforcement learning models. allows correspondence error to be propagated through subsequent statistical analysis.”
A framework for studying the neurobiology of value-based decision making (2008, background): “Finally, a study showed that the habit system can also learn from observing the outcomes of actions that it did not take, as opposed to only being able to learn from direct experienc”