» Articles » PMID: 30442895

Bayes-Like Integration of a New Sensory Skill with Vision

Overview
Journal Sci Rep
Specialty Science
Date 2018 Nov 17
PMID 30442895
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Humans are effective at dealing with noisy, probabilistic information in familiar settings. One hallmark of this is Bayesian Cue Combination: combining multiple noisy estimates to increase precision beyond the best single estimate, taking into account their reliabilities. Here we show that adults also combine a novel audio cue to distance, akin to human echolocation, with a visual cue. Following two hours of training, subjects were more precise given both cues together versus the best single cue. This persisted when we changed the novel cue's auditory frequency. Reliability changes also led to a re-weighting of cues without feedback, showing that they learned something more flexible than a rote decision rule for specific stimuli. The main findings replicated with a vibrotactile cue. These results show that the mature sensory apparatus can learn to flexibly integrate new sensory skills. The findings are unexpected considering previous empirical results and current models of multisensory learning.

Citing Articles

Towards Human Sensory Augmentation: A Cognitive Neuroscience Framework for Evaluating Integration of New Signals within Perception, Brain Representations, and Subjective Experience.

Nardini M, Scheller M, Ramsay M, Kristiansen O, Allen C Augment Hum Res. 2024; 10(1):1.

PMID: 39497728 PMC: 11533871. DOI: 10.1007/s41133-024-00075-7.


Sensory augmentation for a rapid motor task in a multisensory environment.

Negen J, Slater H, Nardini M Restor Neurol Neurosci. 2023; 42(2):113-120.

PMID: 37302045 PMC: 11492005. DOI: 10.3233/RNN-221279.


Newly learned shape-color associations show signatures of reliability-weighted averaging without forced fusion or a memory color effect.

Aston S, Pattie C, Graham R, Slater H, Beierholm U, Nardini M J Vis. 2022; 22(13):8.

PMID: 36580296 PMC: 9804025. DOI: 10.1167/jov.22.13.8.


Experimentally disambiguating models of sensory cue integration.

Scarfe P J Vis. 2022; 22(1):5.

PMID: 35019955 PMC: 8762719. DOI: 10.1167/jov.22.1.5.


An adaptive cue selection model of allocentric spatial reorientation.

Negen J, Bird L, Nardini M J Exp Psychol Hum Percept Perform. 2021; 47(10):1409-1429.

PMID: 34766823 PMC: 8582329. DOI: 10.1037/xhp0000950.


References
1.
Pouget A, Beck J, Ma W, Latham P . Probabilistic brains: knowns and unknowns. Nat Neurosci. 2013; 16(9):1170-8. PMC: 4487650. DOI: 10.1038/nn.3495. View

2.
Maidenbaum S, Abboud S, Amedi A . Sensory substitution: closing the gap between basic research and widespread practical visual rehabilitation. Neurosci Biobehav Rev. 2013; 41:3-15. DOI: 10.1016/j.neubiorev.2013.11.007. View

3.
Daee P, Mirian M, Ahmadabadi M . Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood. PLoS One. 2014; 9(7):e103143. PMC: 4110011. DOI: 10.1371/journal.pone.0103143. View

4.
Nardini M, Bedford R, Mareschal D . Fusion of visual cues is not mandatory in children. Proc Natl Acad Sci U S A. 2010; 107(39):17041-6. PMC: 2947870. DOI: 10.1073/pnas.1001699107. View

5.
Shams L, Beierholm U . Causal inference in perception. Trends Cogn Sci. 2010; 14(9):425-32. DOI: 10.1016/j.tics.2010.07.001. View