Not Noisy, Just Wrong: The Role of Suboptimal Inference in Behavioral Variability

Behavior varies from trial to trial even when the stimulus is maintained as constant as possible. In many models, this variability is attributed to noise in the brain. Here, we propose that there is another major source of variability: suboptimal inference. Importantly, we argue that in most tasks o...

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Bibliographic Details
Published inNeuron (Cambridge, Mass.) Vol. 74; no. 1; pp. 30 - 39
Main Authors Beck, Jeffrey M., Ma, Wei Ji, Pitkow, Xaq, Latham, Peter E., Pouget, Alexandre
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 12.04.2012
Elsevier Limited
Subjects
Animals
Behavior
Behavioral Research
Brain - cytology
Brain - physiology
Charitable foundations
Field Dependence-Independence
Humans
Models, Neurological
Models, Psychological
Neurons - physiology
Noise
Perceptual Masking - physiology
Population
Reproducibility of Results
Sensation - physiology
Uncertainty
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Summary:Behavior varies from trial to trial even when the stimulus is maintained as constant as possible. In many models, this variability is attributed to noise in the brain. Here, we propose that there is another major source of variability: suboptimal inference. Importantly, we argue that in most tasks of interest, and particularly complex ones, suboptimal inference is likely to be the dominant component of behavioral variability. This perspective explains a variety of intriguing observations, including why variability appears to be larger on the sensory than on the motor side, and why our sensors are sometimes surprisingly unreliable. Behavioral variability has often been attributed to noise in the brain. In this Perspective, Pouget and colleagues propose that there is another major source of variability, suboptimal inference, which is the dominant component of behavioral variability in complex tasks.
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These authors contributed equally to this work
ISSN:0896-6273
1097-4199
DOI:10.1016/j.neuron.2012.03.016