Optimality and heuristics in perceptual neuroscience
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Summary
This article provides a cross-disciplinary review of decision-making with the aim of building perceptual theory that uses optimality to set the computational goals for perceptual behavior but incorporates how these optimal goals can be achieved through heuristic approximation.
- Type
- article
- Published
- 2019-01-18
- Cited by
- 66
- References
- 147
- OpenAlex
- https://openalex.org/W30804531
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:71144951
Keywords
Radioactive waste, Vitrification, Waste management, Spent nuclear fuel, High-level waste
References
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- Multistability and Perceptual Inference
- Operating Characteristics Determined by Binary Decisions and by Ratings
- BELIEF IN THE LAW OF SMALL NUMBERS
- The psychophysics of visual search.
- Bayesian integration in sensorimotor learning
- What does a Man do after he Makes an Error? An Analysis of Response Programming
- Bayesian sampling in visual perception
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Cited by
- A flexible readout mechanism of human sensory representations
- Hypothalamic Heuristics for Survival.
- Efficient sampling and noisy decisions
- Integrating situational probability and kinematic information when anticipating disguised movements
- Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints
- Context effects on probability estimation
- Prefrontal cortex represents heuristics that shape choice bias and its integration into future behavior
- Bayesian transfer in a complex spatial localization task
- Abrupt darkening under high dynamic range (HDR) luminance invokes facilitation for high-contrast targets and grouping by luminance similarity
- Auditory cortex reflects goal-directed movement but is not necessary for behavioral adaptation in sound-cued reward tracking.
- Discrete confidence levels revealed by sequential decisions
- Mice Can Learn a Stimulus-Invariant Orientation Discrimination Task
- Decision making: How the past guides the future in frontal cortex
- Rational inattention in mice
- Inspiration of Bayesian decision theory for action anticipation in complex decision making in sports: Taking tennis and soccer as examples
- Decision making in auditory externalization perception: model predictions for static conditions
- When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving
- Limitations of a proposed correction for slow drifts in decision criterion
- How Learning Unfolds in the Brain: Toward an Optimization View
- Discovering Rational Heuristics for Risky Choice
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