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Experimentally disambiguating models of sensory cue integration
Journal of vision (Charlottesville, Va.), 2022-01, Vol.22 (1), p.5-5
[Peer Reviewed Journal]
Copyright 2022 The Authors 2022 ;ISSN: 1534-7362 ;EISSN: 1534-7362 ;DOI: 10.1167/jov.22.1.5 ;PMID: 35019955
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Title:
Experimentally disambiguating models of sensory cue integration
Author:
Scarfe, Peter
Subjects:
Cues
;
Humans
Is Part Of:
Journal of vision (Charlottesville, Va.), 2022-01, Vol.22 (1), p.5-5
Description:
Sensory cue integration is one of the primary areas in which a normative mathematical framework has been used to define the "optimal" way in which to make decisions based upon ambiguous sensory information and compare these predictions to behavior. The conclusion from such studies is that sensory cues are integrated in a statistically optimal fashion. However, numerous alternative computational frameworks exist by which sensory cues could be integrated, many of which could be described as "optimal" based on different criteria. Existing studies rarely assess the evidence relative to different candidate models, resulting in an inability to conclude that sensory cues are integrated according to the experimenter's preferred framework. The aims of the present paper are to summarize and highlight the implicit assumptions rarely acknowledged in testing models of sensory cue integration, as well as to introduce an unbiased and principled method by which to determine, for a given experimental design, the probability with which a population of observers behaving in accordance with one model of sensory integration can be distinguished from the predictions of a set of alternative models.
Publisher:
United States: The Association for Research in Vision and Ophthalmology
Language:
English
Identifier:
ISSN: 1534-7362
EISSN: 1534-7362
DOI: 10.1167/jov.22.1.5
PMID: 35019955
Source:
GFMER Free Medical Journals
MEDLINE
PubMed Central
ROAD: Directory of Open Access Scholarly Resources
DOAJ Directory of Open Access Journals
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