Neural Coding of Uncertainty and Probability. Ma, W. J. & Jazayeri, M. Annual Review of Neuroscience, 37(1):205–220, 2014.
Paper doi abstract bibtex Organisms must act in the face of sensory, motor, and reward uncertainty stemming from a pandemonium of stochasticity and missing information. In many tasks, organisms can make better decisions if they have at their disposal a representation of the uncertainty associated with task-relevant variables. We formalize this problem using Bayesian decision theory and review recent behavioral and neural evidence that the brain may use knowledge of uncertainty, confidence, and probability.
@article{ma_neural_2014,
title = {Neural {Coding} of {Uncertainty} and {Probability}},
volume = {37},
url = {https://doi.org/10.1146/annurev-neuro-071013-014017},
doi = {10.1146/annurev-neuro-071013-014017},
abstract = {Organisms must act in the face of sensory, motor, and reward uncertainty stemming from a pandemonium of stochasticity and missing information. In many tasks, organisms can make better decisions if they have at their disposal a representation of the uncertainty associated with task-relevant variables. We formalize this problem using Bayesian decision theory and review recent behavioral and neural evidence that the brain may use knowledge of uncertainty, confidence, and probability.},
number = {1},
urldate = {2019-11-18},
journal = {Annual Review of Neuroscience},
author = {Ma, Wei Ji and Jazayeri, Mehrdad},
year = {2014},
keywords = {neuroeconomics model},
pages = {205--220},
}
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