scholarly journals Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions

Brain ◽  
2007 ◽  
Vol 130 (9) ◽  
pp. 2387-2400 ◽  
Author(s):  
P.R. Corlett ◽  
G.K. Murray ◽  
G.D. Honey ◽  
M.R.F. Aitken ◽  
D.R. Shanks ◽  
...  
Keyword(s):  
Prediction Error ◽  
Error Signal ◽  
Associative Account

scholarly journals A quantitative reward prediction error signal in the ventral pallidum

2020 ◽  
Vol 23 (10) ◽  
pp. 1267-1276 ◽  
Author(s):  
David J. Ottenheimer ◽  
Bilal A. Bari ◽  
Elissa Sutlief ◽  
Kurt M. Fraser ◽  
Tabitha H. Kim ◽  
...  
Keyword(s):  
Prediction Error ◽  
Ventral Pallidum ◽  
Error Signal ◽  
Reward Prediction Error ◽  
Reward Prediction

scholarly journals Stress increases aversive prediction error signal in the ventral striatum

2013 ◽  
Vol 110 (10) ◽  
pp. 4129-4133 ◽  
Author(s):  
O. J. Robinson ◽  
C. Overstreet ◽  
D. R. Charney ◽  
K. Vytal ◽  
C. Grillon
Keyword(s):  
Prediction Error ◽  
Ventral Striatum ◽  
Error Signal

Neural Coding of Reward-Prediction Error Signals During Classical Conditioning With Attractive Faces

2007 ◽  
Vol 97 (4) ◽  
pp. 3036-3045 ◽  
Author(s):  
Signe Bray ◽  
John O'Doherty
Keyword(s):  
Neural Coding ◽  
Prediction Error ◽  
Ventral Striatum ◽  
Human Subjects ◽  
Visual Stimuli ◽  
Dopamine Neurons ◽  
Error Signal ◽  
Reward Prediction Error ◽  
Reward Prediction ◽  
Attractive Female

Attractive faces can be considered to be a form of visual reward. Previous imaging studies have reported activity in reward structures including orbitofrontal cortex and nucleus accumbens during presentation of attractive faces. Given that these stimuli appear to act as rewards, we set out to explore whether it was possible to establish conditioning in human subjects by pairing presentation of arbitrary affectively neutral stimuli with subsequent presentation of attractive and unattractive faces. Furthermore, we scanned human subjects with functional magnetic resonance imaging (fMRI) while they underwent this conditioning procedure to determine whether a reward-prediction error signal is engaged during learning with attractive faces as is known to be the case for learning with other types of reward such as juice and money. Subjects showed changes in behavioral ratings to the conditioned stimuli (CS) when comparing post- to preconditioning evaluations, notably for those CSs paired with attractive female faces. We used a simple Rescorla-Wagner learning model to generate a reward-prediction error signal and entered this into a regression analysis with the fMRI data. We found significant prediction error-related activity in the ventral striatum during conditioning with attractive compared with unattractive faces. These findings suggest that an arbitrary stimulus can acquire conditioned value by being paired with pleasant visual stimuli just as with other types of reward such as money or juice. This learning process elicits a reward-prediction error signal in a main target structure of dopamine neurons: the ventral striatum. The findings we describe here may provide insights into the neural mechanisms tapped into by advertisers seeking to influence behavioral preferences by repeatedly exposing consumers to simple associations between products and rewarding visual stimuli such as pretty faces.

scholarly journals Mnemonic prediction errors bias hippocampal states

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Oded Bein ◽  
Katherine Duncan ◽  
Lila Davachi
Keyword(s):  
Left Hemisphere ◽  
Prediction Error ◽  
Activity Patterns ◽  
Network Connectivity ◽  
Prediction Errors ◽  
Error Signal ◽  
Memory Updating ◽  
Hippocampal Subfields ◽  
The World

Abstract When our experience violates our predictions, it is adaptive to upregulate encoding of novel information, while down-weighting retrieval of erroneous memory predictions to promote an updated representation of the world. We asked whether mnemonic prediction errors promote hippocampal encoding versus retrieval states, as marked by distinct network connectivity between hippocampal subfields. During fMRI scanning, participants were cued to internally retrieve well-learned complex room-images and were then presented with either an identical or a modified image (0-4 changes). In the left hemisphere, we find that CA1-entorhinal connectivity increases, and CA1-CA3 connectivity decreases, with the number of changes. Further, in the left CA1, the similarity between activity patterns during cued-retrieval of the learned room and during the image is lower when the image includes changes, consistent with a prediction error signal in CA1. Our findings provide a mechanism by which mnemonic prediction errors may drive memory updating—by biasing hippocampal states.

Sign in / Sign up

Export Citation Format

Share Document