Results 21 to 30 of about 6,561,703 (356)
Abnormal prediction error processing in schizophrenia and depression
To make adaptive decisions under uncertainty, individuals need to actively monitor the discrepancy between expected outcomes and actual outcomes, known as prediction errors.
Z. Yaple, S. Tolomeo, Rongjun Yu
semanticscholar +1 more source
The opioid receptor antagonist naloxone enhances Pavlovian fear conditioning when rats are exposed to pairings of an initially neutral stimulus, such as a tone, and a painful foot shock unconditioned stimulus (US; so-called first-order fear conditioning;
Robine M. L. Michalscheck +3 more
doaj +1 more source
During medical treatment, personal privacy is involved and must be protected. Healthcare institutions have to keep medical images or health information secret unless they have permission from the data owner to disclose them.
Ching-Yu Yang, Ja-Ling Wu
doaj +1 more source
The Neural Correlates of Cued Reward Omission
Compared to our understanding of positive prediction error signals occurring due to unexpected reward outcomes, less is known about the neural circuitry in humans that drives negative prediction errors during omission of expected rewards. While classical
Jessica A. Mollick +7 more
doaj +1 more source
Dopamine, Updated: Reward Prediction Error and Beyond
Dopamine neurons have been intensely studied for their roles in reinforcement learning. A dominant theory of how these neurons contribute to learning is through the encoding of a reward prediction error (RPE) signal.
Talia N. Lerner +2 more
semanticscholar +1 more source
Adaptation in Predictive Prosodic Processing in Bilinguals
Native language listeners engage in predictive processing in many processing situations and adapt their predictive processing to the statistics of the input.
Anouschka Foltz
doaj +1 more source
Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance [PDF]
peer-reviewedCalculation of the exact prediction error variance covariance matrix is often computationally too demanding, which limits its application in REML algorithms, the calculation of accuracies of estimated breeding values and the control of ...
Veerkamp Roel F +15 more
core +1 more source
Optimal Hedging of Prediction Errors Using Prediction Errors [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Striatal prediction error modulates cortical coupling [PDF]
Both perceptual inference and motor responses are shaped by learned probabilities. For example, stimulus-induced responses in sensory cortices and preparatory activity in premotor cortex reflect how (un)expected a stimulus is.
Ouden, H.E.M. den +15 more
core +1 more source
Learning prediction error neurons in a canonical interneuron circuit
Sensory systems constantly compare external sensory information with internally generated predictions. While neural hallmarks of prediction errors have been found throughout the brain, the circuit-level mechanisms that underlie their computation are ...
L. Hertäg, Henning Sprekeler
semanticscholar +1 more source

