Results 11 to 20 of about 6,561,703 (356)
Dopamine, Prediction Error and Beyond [PDF]
The Neuroscientist, 2020 A large body of work has linked dopaminergic signaling to learning and reward processing. It stresses the role of dopamine in reward prediction error signaling, a key neural signal that allows us to learn from past experiences, and that facilitates optimal choice behavior.
Diederen, Kelly M. J., Fletcher, Paul C.
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Current Biology, 2017 In this quick guide, Wolfram Schultz provides an introduction of reward prediction error, exploring the signal of dopamine neurons and describing its potential role in reward accumulation, decision-making and everyday life.
W. Schultz
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REVISTA BRASILEIRA DE BIOMETRIA, 2019 The theory of model prediction error is presented in details from the point of view of geometric constructions. It is expected that this approach can be a possible pedagogical tool in the treatment of the subject. Although the focus is essentially conceptual, all algebraic passages is developed in order to facilitate a greater understanding for the ...
Leandro da Silva PEREIRA +2 more
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Reward Prediction Error and Declarative Memory
Trends in Cognitive Sciences, 2020 Learning based on reward prediction error (RPE) was originally proposed in the context of non-declarative memory. We postulate that RPE may support declarative memory as well. Indeed, recent years have witnessed a number of independent empirical studies reporting effects of RPE on declarative memory.
Verguts , Tom +2 more
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Estimating Prediction Error: Cross-Validation vs. Accumulated Prediction Error [PDF]
Communications in Statistics - Simulation and Computation, 2010 We study the validation of prediction rules such as regression models and classification algorithms through two out-of-sample strategies, cross-validation and accumulated prediction error. We use the framework of Efron (1983) where measures of prediction errors are defined as sample averages of expected errors and show through exact finite sample ...
Jenny Häggström, Xavier de Luna
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Prediction-error signals in anterior cingulate cortex drive task-switching. [PDF]
Nat CommunTask-switching is a fundamental cognitive ability that allows animals to update their knowledge of current rules or contexts. Detecting discrepancies between predicted and observed events is essential for this process.
Cole N +4 more
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Neuron, 2023 Predictive processing postulates the existence of prediction error neurons in cortex. Neurons with both negative and positive prediction error response properties have been identified in layer 2/3 of visual cortex, but whether they correspond to ...
Sean M. O’Toole +2 more
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Nature Neuroscience, 2021 Social interactions are motivated behaviors that, in many species, facilitate learning. However, how the brain encodes the reinforcing properties of social interactions remains unclear.
C. Solié +4 more
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Neural substrates of appetitive and aversive prediction error
Neuroscience and Biobehavioral Reviews, 2021 Prediction error, defined by the discrepancy between real and expected outcomes, lies at the core of associative learning. Behavioural investigations have provided evidence that prediction error up- and down-regulates associative relationships, and ...
M. Iordanova +3 more
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Interactions between sensory prediction error and task error during implicit motor learning
bioRxiv, 2021 Implicit motor recalibration allows us to flexibly move in novel and changing environments. Conventionally, implicit recalibration is thought to be driven by errors in predicting the sensory outcome of movement (i.e., sensory prediction errors). However,
Jonathan S. Tsay +3 more
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