Journal ArticleDOI
Uncertainty and learning
Peter Dayan,Angela J. Yu +1 more
TLDR
The links between learning and uncertainty are reviewed from three perspectives: statistical theories such as the Kalman filter, psychological models in which differential attention is paid to stimuli with an effect on the speed of learning associated with those stimuli, and neurobiological data on the influence of the neuromodulators acetylcholine and norepinephrine on learning and inference.Abstract:
It is a commonplace in statistics that uncertainty about parameters drives learning. Indeed one of the most influential models of behavioural learning has uncertainty at its heart. However, many popular theoretical models of learning focus exclusively on error, and ignore uncertainty. Here we review the links between learning and uncertainty from three perspectives: statistical theories such as the Kalman filter, psychological models in which differential attention is paid to stimuli with an effect on the speed of learning associated with those stimuli, and neurobiological data on the influence of the neuromodulators acetylcholine and norepinephrine on learning and inference.read more
Citations
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Journal ArticleDOI
Uncertainty, neuromodulation, and attention.
Angela J. Yu,Peter Dayan +1 more
TL;DR: This formulation is consistent with a wealth of physiological, pharmacological, and behavioral data implicating acetylcholine and norepinephrine in specific aspects of a range of cognitive processes and suggests a class of attentional cueing tasks that involve both neuromodulators and how their interactions may be part-antagonistic, part-synergistic.
ReportDOI
Extending the Soar Cognitive Architecture
TL;DR: This paper presents the cognitive architecture approach to general intelligence and the traditional, symbolic Soar architecture, followed by major additions to Soar: non-symbolic representations, new learning mechanisms, and long-term memories.
Journal ArticleDOI
A unified model for perceptual learning
Aaron R. Seitz,Takeo Watanabe +1 more
TL;DR: The model suggests that long-term sensitivity enhancements to task-relevant or irrelevant stimuli occur as a result of timely interactions between diffused signals triggered by task performance and signals produced by stimulus presentation.
Journal ArticleDOI
Phasic norepinephrine: a neural interrupt signal for unexpected events.
Peter Dayan,Angela J. Yu +1 more
TL;DR: It is proposed that it is unexpected changes in the world within the context of a task that activate the noradrenergic interrupt signal, and this idea is quantified in a Bayesian model of a well-studied visual discrimination task, demonstrating that the model captures a rich repertoire of nor adrenergic responses at the sub-second temporal resolution.
Journal ArticleDOI
Great Expectations: Is there Evidence for Predictive Coding in Auditory Cortex?
TL;DR: Examination of existing evidence for predictive coding in the auditory modality identifies five key assumptions of the theory and evaluates each in the light of animal, human and modeling studies of auditory pattern processing to determine whether this popular grand theory can fulfill its expectations.
References
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Journal ArticleDOI
A Neural Substrate of Prediction and Reward
TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.
Journal Article
Optimal Filtering
TL;DR: This book helps to fill the void in the market and does that in a superb manner by covering the standard topics such as Kalman filtering, innovations processes, smoothing, and adaptive and nonlinear estimation.
Journal ArticleDOI
Predictive Reward Signal of Dopamine Neurons
TL;DR: Dopamine systems may have two functions, the phasic transmission of reward information and the tonic enabling of postsynaptic neurons.
Journal ArticleDOI
A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.
John M. Pearce,Geoffrey Hall +1 more
TL;DR: A new model is proposed that deals with the explanation of cases in which learning does not occur in spite of the fact that the conditioned stimulus is a signal for the reinforcer by specifying that certain procedures cause a conditioned stimulus to lose effectiveness.
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A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.
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