Forming beliefs: Why valence matters
One of the most salient attributes of information is valence: whether a piece of news is good
or bad. Contrary to classic learning theories, which implicitly assume beliefs are adjusted …
or bad. Contrary to classic learning theories, which implicitly assume beliefs are adjusted …
Does the salience network play a cardinal role in psychosis? An emerging hypothesis of insular dysfunction
L Palaniyappan, PF Liddle - Journal of Psychiatry and Neuroscience, 2012 - jpn.ca
The insular cortex is one of the brain regions that show consistent abnormalities in both
structural and functional neuroimaging studies of schizophrenia. In healthy individuals, the …
structural and functional neuroimaging studies of schizophrenia. In healthy individuals, the …
[HTML][HTML] An interoceptive predictive coding model of conscious presence
We describe a theoretical model of the neurocognitive mechanisms underlying conscious
presence and its disturbances. The model is based on interoceptive prediction error and is …
presence and its disturbances. The model is based on interoceptive prediction error and is …
[HTML][HTML] Pupil dilation signals surprise: Evidence for noradrenaline's role in decision making
Our decisions are guided by the rewards we expect. These expectations are often based on
incomplete knowledge and are thus subject to uncertainty. While the neurophysiology of …
incomplete knowledge and are thus subject to uncertainty. While the neurophysiology of …
Knowing how much you don't know: a neural organization of uncertainty estimates
How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …
implications in basic and clinical neuroscience, from computational models of optimality to …
The Iowa gambling task in fMRI images
Abstract The Iowa Gambling Task (IGT) is a sensitive test for the detection of decision‐
making impairments in several neurological and psychiatric populations. Very few studies …
making impairments in several neurological and psychiatric populations. Very few studies …
[HTML][HTML] Risk, unexpected uncertainty, and estimation uncertainty: Bayesian learning in unstable settings
E Payzan-LeNestour, P Bossaerts - PLoS computational biology, 2011 - journals.plos.org
Recently, evidence has emerged that humans approach learning using Bayesian updating
rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here …
rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here …
[HTML][HTML] The neural representation of unexpected uncertainty during value-based decision making
Uncertainty is an inherent property of the environment and a central feature of models of
decision-making and learning. Theoretical propositions suggest that one form, unexpected …
decision-making and learning. Theoretical propositions suggest that one form, unexpected …
Informational and normative influences in conformity from a neurocomputational perspective
We consider two distinct influences that drive conformity behaviour. Whereas informational
influences facilitate adaptive and accurate responses, normative influences bias decisions …
influences facilitate adaptive and accurate responses, normative influences bias decisions …
Computational substrates of norms and their violations during social exchange
T Xiang, T Lohrenz, PR Montague - Journal of Neuroscience, 2013 - Soc Neuroscience
Social norms in humans constrain individual behaviors to establish shared expectations
within a social group. Previous work has probed social norm violations and the feelings that …
within a social group. Previous work has probed social norm violations and the feelings that …