Human Insula Activation Reflects Risk Prediction Errors As Well As Risk
By Kerstin Preuschoff, Steven R. Quartz, Peter Bossaerts. Journal of Neuroscience, 2008
765 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/ae5b372dfa1f053ab1161f34010981f0b48e11f0
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
- Hugo D. Critchley
- Boris C. Bernhardt
- Tania Singer
- Anil K. Seth
- Keisuke Suzuki
- Lien Van Eylen
- Jacqueline Gottlieb
- Lee H. de-Wit
Citations in the corpus
- Neural computations underlying arbitration between model-based and model-free learning (2013, neutral): “A candidate mechanism would be to use the absolute value of the RPE signal to learn trial-by-trial predictions about the degree of reliability of the RPE in a model-free manner (Li et al., 2011; Preuschoff et al., 2008; Takahashi et al., 2011).”
- Dissociable neural representations of future reward magnitude and delay during temporal discounting (2009, neutral): “…the time and likelihood of reward delivery (Read and Read, 2004) and thus might elicit increased activation in deep cortical regions implicated processing in uncertainty such as the anterior insula (Paulus, 2003; Preuschoff et al., 2008) and anterior cingulate cortices (Critchley et al., 2001).”
- Gut feelings: the emerging biology of gut–brain communication (2011, background): “The fact that predictions and prediction errors are associated with activations of subregions of the aIN”
- What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study (2010, background): “2003), its primary focus is the fear and anticipation of losses (Preuschoff et al. 2008).”
- Insights from the application of computational neuroimaging to social neuroscience. (2013, neutral): “The computational approach to neuroimaging was brought to bear initially on the domains of value-based learning and decision-making in nonsocial situations, as a means of gaining insight into the computations performed by different brain regions in learning to predict rewarding and punishing outcome”
- Attention, learning and the value of information (2012, background): “…models synthesizing these findings have proposed a process of gated accumulation, whereby the accumulation of information in saccade movement cells is insulated from visual selection unless (or until) an eye movement becomes appropriate (Lo and Wang, 2006; Purcell et al., 2012; Schall et al., 2011).”
- New insights into symptoms and neurocircuit function of anorexia nervosa (2009, neutral): “Finally, the anterior insula has been implicated in risk prediction error”
- An Interoceptive Predictive Coding Model of Conscious Presence (2011, background): “…experimental evidence of insular predictive coding, though not specifically regarding interoceptive signals, comes from an fMRI study of a gambling task in which activity within spatially separate subregions of the AIC encoded both predicted risk and risk prediction error (Preuschoff et al., 2008).”
- Risk-Sensitive Reinforcement Learning (2013, background): “RL is a well-developed model not only for human decision-making, but also for models of free choice in non-humans, because similar computational structures, such as dopaminergically mediated reward prediction errors, have been identified across species (Schultz et al., 1997; Schultz, 2002).”