View-Invariant Object Recognition Is Learned by Pigeons Through Reward Prediction Error

2011 ◽  
Author(s):  
Edward A. Wasserman ◽  
Fabian A. Soto
Keyword(s):  
Object Recognition ◽  
Prediction Error ◽  
Reward Prediction Error ◽  
Reward Prediction ◽  
Invariant Object Recognition

The effect of effort on reward prediction error signals in midbrain dopamine neurons

2021 ◽  
Vol 41 ◽  
pp. 152-159
Author(s):  
Shingo Tanaka ◽  
Jessica E Taylor ◽  
Masamichi Sakagami
Keyword(s):  
Prediction Error ◽  
Dopamine Neurons ◽  
Reward Prediction Error ◽  
Reward Prediction ◽  
Midbrain Dopamine ◽  
Midbrain Dopamine Neurons

scholarly journals A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning

2020 ◽  
Author(s):  
Pramod Kaushik ◽  
Jérémie Naudé ◽  
Surampudi Bapi Raju ◽  
Frédéric Alexandre
Keyword(s):  
Classical Conditioning ◽  
Computational Model ◽  
Prediction Error ◽  
Ventral Striatum ◽  
Dopamine Neurons ◽  
System Level ◽  
Reward Prediction Error ◽  
Twin Peaks ◽  
Reward Prediction ◽  
Error Computation

AbstractClassical Conditioning is a fundamental learning mechanism where the Ventral Striatum is generally thought to be the source of inhibition to Ventral Tegmental Area (VTA) Dopamine neurons when a reward is expected. However, recent evidences point to a new candidate in VTA GABA encoding expectation for computing the reward prediction error in the VTA. In this system-level computational model, the VTA GABA signal is hypothesised to be a combination of magnitude and timing computed in the Peduncolopontine and Ventral Striatum respectively. This dissociation enables the model to explain recent results wherein Ventral Striatum lesions affected the temporal expectation of the reward but the magnitude of the reward was intact. This model also exhibits other features in classical conditioning namely, progressively decreasing firing for early rewards closer to the actual reward, twin peaks of VTA dopamine during training and cancellation of US dopamine after training.

T92. Time Scales of Encoding the Reward Prediction Error in Youth: Representation of Past Events

2018 ◽  
Vol 83 (9) ◽  
pp. S164
Author(s):  
Hanna Keren ◽  
Nathan Fox ◽  
Ellen Leibenluft ◽  
Daniel S. Pine ◽  
Argyris Stringaris
Keyword(s):  
Time Scales ◽  
Prediction Error ◽  
Reward Prediction Error ◽  
Reward Prediction

scholarly journals O5.1. STRIATAL DOPAMINE AND REDUCED REWARD PREDICTION ERROR SIGNALING IN UNMEDICATED SCHIZOPHRENIA PATIENTS

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S11-S11
Author(s):  
Teresa Katthagen ◽  
Jakob Kaminski ◽  
Andreas Heinz ◽  
Ralph Buchert ◽  
Florian Schlagenhauf
Keyword(s):  
Prediction Error ◽  
Negative Symptoms ◽  
Ventral Striatum ◽  
Striatal Dopamine ◽  
Dopamine Synthesis ◽  
Positive Symptoms ◽  
Healthy Controls ◽  
Reward Prediction Error ◽  
Reward Prediction ◽  
Significant Difference

Abstract Background Increased striatal dopamine synthesis capacity (DSC) has consistently been reported in patients with schizophrenia (Sz). However, the functional mechanism translating this into behavior and symptoms remains unclear. It has been proposed that heightened striatal dopamine may blunt dopaminergic reward prediction error (RPE) signaling during reinforcement learning. Methods In this study, we investigated striatal DSC and RPEs and their association in unmedicated Sz and healthy controls. 23 healthy controls (HC) and 20 unmedicated Sz took part in an FDOPA-PET scan measuring DSC and underwent fMRI scanning, where they performed a reversal learning paradigm. We compared groups regarding DSC und neural RPE signals and probed the respective correlation (23 HC and 16 Sz for both measures). Results There was no significant difference between HC and Sz in DSC. Taking into account comorbid alcohol abuse revealed that only patients without such abuse showed elevated DSC in the associative and sensorimotor striatum, while those with abuse did not differ from HC. Patients performed worse during learning, accompanied by a reduced RPE signal in the ventral striatum. In HC, the DSC in the limbic striatum correlated with higher RPE signaling, while there was no significant association in patients. DSC in the associative striatum correlated with higher positive symptoms, and blunted RPE signaling was associated with negative symptoms. Discussion Our results suggest that dopamine modulation of RPE is impaired in schizophrenia. Furthermore, we observed a dissociation with elevated DSC in the associative and sensorimotor striatum contributing to positive symptoms and blunted RPE in the ventral striatum to negative symptoms.

100 words on reward prediction error – 100 words

2019 ◽  
Vol 216 (1) ◽  
pp. 42-42
Author(s):  
Karl Friston
Keyword(s):  
Prediction Error ◽  
Reward Prediction Error ◽  
Reward Prediction

scholarly journals Reward Prediction Error Modulates Saccade Vigor

2019 ◽  
Vol 39 (25) ◽  
pp. 5010-5017 ◽  
Author(s):  
Ehsan Sedaghat-Nejad ◽  
David J. Herzfeld ◽  
Reza Shadmehr
Keyword(s):  
Prediction Error ◽  
Reward Prediction Error ◽  
Reward Prediction

scholarly journals Reward Prediction Error Coding in Dorsal Striatal Neurons

2010 ◽  
Vol 30 (34) ◽  
pp. 11447-11457 ◽  
Author(s):  
K. Oyama ◽  
I. Hernadi ◽  
T. Iijima ◽  
K.-I. Tsutsui
Keyword(s):  
Prediction Error ◽  
Striatal Neurons ◽  
Reward Prediction Error ◽  
Reward Prediction ◽  
Error Coding

scholarly journals The Role of Striatal Tonically Active Neurons in Reward Prediction Error Signaling during Instrumental Task Performance

2011 ◽  
Vol 31 (4) ◽  
pp. 1507-1515 ◽  
Author(s):  
P. Apicella ◽  
S. Ravel ◽  
M. Deffains ◽  
E. Legallet
Keyword(s):  
Task Performance ◽  
Prediction Error ◽  
Reward Prediction Error ◽  
Tonically Active Neurons ◽  
Reward Prediction ◽  
Instrumental Task

scholarly journals Dopamine Reward Prediction Error Responses Reflect Marginal Utility

2014 ◽  
Vol 24 (21) ◽  
pp. 2491-2500 ◽  
Author(s):  
William R. Stauffer ◽  
Armin Lak ◽  
Wolfram Schultz
Keyword(s):  
Prediction Error ◽  
Marginal Utility ◽  
Reward Prediction Error ◽  
Reward Prediction
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