Multisensory decisions provide support for probabilistic number representations

Kanitscheider, I., Brown, A., Pouget, A., Churchland, A. K. (June 2015) Multisensory decisions provide support for probabilistic number representations. Journal of Neurophysiology, 113 (10). pp. 3490-3498. ISSN 00223077

URL: http://www.ncbi.nlm.nih.gov/pubmed/25744886
DOI: 10.1152/jn.00787.2014

Abstract

A large body of evidence suggests that an approximate number sense allows humans to estimate numerosity in sensory scenes. This ability is widely observed in humans, including those without formal mathematical training. Despite this, many outstanding questions remain about the nature of the numerosity representation in the brain. Specifically, it is not known whether approximate numbers are represented as scalar estimates of numerosity or, alternatively, as probability distributions over numerosity. In the present study, we used a multisensory decision task to distinguish these possibilities. We trained human subjects to decide whether a test stimulus had a larger or smaller numerosity compared with a fixed reference. Depending on the trial, the numerosity was presented as either a sequence of visual flashes or a sequence of auditory tones, or both. To test for a probabilistic representation, we varied the reliability of the stimulus by adding noise to the visual stimuli. In accordance with a probabilistic representation, we observed a significant improvement in multisensory compared with unisensory trials. Furthermore, a trial-by-trial analysis revealed that although individual subjects showed strategic differences in how they leveraged auditory and visual information, all subjects exploited the reliability of unisensory cues. An alternative, nonprobabilistic model, in which subjects combined cues without regard for reliability, was not able to account for these trial-by-trial choices. These findings provide evidence that the brain relies on a probabilistic representation for numerosity decisions. Copyright © 2015 the American Physiological Society.

Item Type: Paper
Subjects: organism description > animal behavior > decision making
CSHL Authors:
Communities: CSHL labs > Churchland lab
Depositing User: Matt Covey
Date: 1 June 2015
Date Deposited: 25 Jun 2015 15:55
Last Modified: 25 Jun 2015 15:55
PMCID: PMC4455484
Related URLs:
URI: http://repository.cshl.edu/id/eprint/31598

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