How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action.

By Erie Boorman, Timothy Edward John Behrens, Mark William Woolrich, Matthew F. S. Rushworth. Neuron, 2009

635 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3c42b2f99ecd889ac3fb4fea3351a6b847abb46a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

Citations in the corpus

The foraging brain (2015, background): “In such contexts, decision makers generally frame the foreground option as the default and the background as the nondefault option; this frame in turn determines how and where the brain represents the offers [6,23 ,24].”
The necessity of rostrolateral prefrontal cortex for higher-level sequential behavior (2015, neutral): “This account is consistent with previous non-sequential studies implicating RLPFC in tracking alternative courses of action (Badre et al., 2012; Boorman et al., 2009; Koechlin et al., 1999), tracking and updating reward contingencies (Kovach et al., 2012), and monitoring superordinate goals to…”
Neural computations underlying arbitration between model-based and model-free learning (2013, background): “, 2012) and a role for this region in encoding relative unchosen action probabilities (Boorman et al., 2009).”
Emotion and the Prefrontal Cortex: An Integrative Review (2017, background): “, 2004), during exploratory choices (Badre, Doll, Long, & Frank, 2012; Boorman et al., 2009; Daw et al., 2006), and during choices guided by an internal model of the current task context (Buckholtz, 2015; Glascher, Daw, Dayan, & O’Doherty, 2010; Smittenaar et al.”
Confidence in value-based choice (2012, methodology): “05; main effect of confidence: F(1,19) = 7.”
Generalization of value in reinforcement learning by humans (2012, background): “…studies of learning and decision-making have often found correlates of chosen value in the ventromedial prefrontal cortex (Daw et al., 2006; Kim et al., 2006; Plassmann et al., 2007; Hare et al., 2008; Boorman et al., 2009; Gershman et al., 2009; Palminteri et al., 2009; Smith et al., 2010).”
The Computation of Stimulus Values in Simple Choice (2014, background): “For example, the authors of one fMRI study investigated the nature of value coding in the task shown in Figure 8.14B (Boorman et al., 2009).”
Pupil Diameter Predicts Changes in the Exploration–Exploitation Trade-off: Evidence for the Adaptive Gain Theory (2011, background): “In addition to other neuromodulator systems, recent studies have implicated fronto-polar cortex in the control of exploratory behaviors (Bourdaud, Chavarriaga, Galan, & Millan, 2008 ; Daw et al, 2006 ), although the specific computations performed by fronto-polar cortex in this context are a topic”
DIFFUSION-WEIGHTED IMAGING TRACTOGRAPHY-BASED PARCELLATION OF THE HUMAN PARIETAL CORTEX AND COMPARISON WITH HUMAN AND MACAQUE RESTING STATE FUNCTIONAL CONNECTIVITY (2011, background): “…gyrus (PH) centered at [28, 34, 16] (Suzuki et al., 2005), the anterior prefrontal cortex (aPFC) centered at [42, 50, 2] (Mars et al., 2008; Boorman et al., 2009), V5/middle temporal area (MT) centered at [44, 67, 0] (Dumoulin et al., 2000), inferior dorsal premotor cortex (PMd) centered…”
Evaluative and generative modes of thought during the creative process (2012, background): “…and Wilding, 2000; Velanova et al., 2003), multi-tasking (Braver and Bongiolatti, 2002; Koechlin et al., 1999), moral decision making (Greene et al., 2004), complex reward processing (Boorman et al., 2009; Huettel, 2006), and spontaneous thought (Christoff et al., 2009a; Christoff et al., 2004).”
Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex (2011, methodology): “Based on the findings of our previous study and other investigations [8,45,46], we were confident that lFPC would encode the relative probability rather than either chosen or unchosen probability in isolation.”
Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values (2009, background): “Although we also observed value-related BOLD modulations in mPFC, as seen in many other studies (O’Doherty, 2004; Hampton et al., 2006; Plassmann et al., 2007; Boorman et al., 2009; Gla¨scher et al., 2009), we did not find evidence that these were lateralized.”