No exception from Bayes’ rule
- In an influential theoretical model, human sensorimotor control is achieved by a Bayesian decision process, which combines noisy sensory information and learned prior knowledge. A ubiquitous signature of prior knowledge and Bayesian integration in human perception and motor behavior is the frequently observed bias toward an average stimulus magnitude (i.e., a central-tendency bias, range effect, regression-to-the-mean effect). However, in the domain of eye movements, there is a recent controversy about the fundamental existence of a range effect in the saccadic system. Here we argue that the problem of the existence of a range effect is linked to the availability of prior knowledge for saccade control. We present results from two prosaccade experiments that both employ an informative prior structure (i.e., a nonuniform Gaussian distribution of saccade target distances). Our results demonstrate the validity of Bayesian integration in saccade control, which generates a range effect in saccades. According to Bayesian integrationIn an influential theoretical model, human sensorimotor control is achieved by a Bayesian decision process, which combines noisy sensory information and learned prior knowledge. A ubiquitous signature of prior knowledge and Bayesian integration in human perception and motor behavior is the frequently observed bias toward an average stimulus magnitude (i.e., a central-tendency bias, range effect, regression-to-the-mean effect). However, in the domain of eye movements, there is a recent controversy about the fundamental existence of a range effect in the saccadic system. Here we argue that the problem of the existence of a range effect is linked to the availability of prior knowledge for saccade control. We present results from two prosaccade experiments that both employ an informative prior structure (i.e., a nonuniform Gaussian distribution of saccade target distances). Our results demonstrate the validity of Bayesian integration in saccade control, which generates a range effect in saccades. According to Bayesian integration principles, the saccadic range effect depends on the availability of prior knowledge and varies in size as a function of the reliability of the prior and the sensory likelihood.…
Author details: | André KrügelORCiDGND, Lars RothkegelORCiDGND, Ralf EngbertORCiDGND |
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DOI: | https://doi.org/10.1167/jov.20.7.15 |
ISSN: | 1534-7362 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/32687553 |
Title of parent work (English): | Journal of vision |
Subtitle (English): | the presence and absence of the range effect for saccades explained |
Publisher: | ARVO |
Place of publishing: | Rockville |
Publication type: | Article |
Language: | English |
Date of first publication: | 2020/07/20 |
Publication year: | 2020 |
Release date: | 2022/11/28 |
Tag: | Bayesian sensorimotor; central-tendency bias; integration; range effect; saccades; saccadic accuracy |
Volume: | 20 |
Issue: | 7 |
Article number: | 15 |
Number of pages: | 14 |
Funding institution: | transnational E-RARE grant `CCMCURE (DFG)European Commission [SFB958]; E-RARE [ERL 138397]; Canadian; Institutes for Health ResearchCanadian Institutes of Health Research; (CIHR) [PJT 153000]; the E-RARE grant `CCMCURE |
Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie |
DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Peer review: | Referiert |
Publishing method: | Open Access / Gold Open-Access |
License (German): | CC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International |