Cited by 23Tactile and Sensory InteractionsMultisensory perception and integrationVisual perception and processing mechanisms

Visual objects in the auditory system in sensory substitution: How much information do we need?

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Brown, David J., Simpson, Andrew J. R., Proulx, Michael J.·2014·Multisensory Research

Abstract

Sensory substitution devices such as The vOICe convert visual imagery into auditory soundscapes and can provide a basic ‘visual’ percept to those with visual impairment. However, it is not known whether technical or perceptual limits dominate the practical efficacy of such systems. By manipulating the resolution of sonified images and asking naïve sighted participants to identify visual objects through a six-alternative forced-choice procedure (6AFC) we demonstrate a ‘ceiling effect’ at 8 × 8 pixels, in both visual and tactile conditions, that is well below the theoretical limits of the technology. We discuss our results in the context of auditory neural limits on the representation of ‘auditory’ objects in a cortical hierarchy and how perceptual training may be used to circumvent these limitations.

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  • There is an upper limit to representation of auditory objects due to intrinsic limits of transmission in auditory cortical areas.

    “Brown, Simpson and Proulx (2014) found that there is an upper limit to representation of auditory objects due to intrinsic limits of transmission in auditory cortical areas.”

    From Designing sensory-substitution devices: Principles, pitfalls and potential1 (2016) · cites this paper as Brown, Simpson and Proulx (2014)

    The Discussion reports an apparent 8 × 8-pixel ceiling in object recognition by naïve sensory-substitution users and proposes that limits in the ascending auditory hierarchy may explain it. It does not establish intrinsic cortical transmission limits as the cause; the authors describe that explanation as a postulate. Page numbers are not provided in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Basic processing properties of the perceptual channels in question need to be considered and effective models of encoding the information into sound and haptics must be developed.

    “The basic processing properties of the perceptual channels in question need to be considered and effective models of encoding the information into sound and haptics must be developed (see e.g. Brown et al., 2014)”

    From Designing sensory-substitution devices: Principles, pitfalls and potential1 (2016) · cites this paper as Brown et al., 2014

    The Introduction (page not available in our copy) says that sensory-substitution design must account for auditory capacity and describes how visual information is encoded in sound. It also notes that touch-receptor distribution constrains tactile-device resolution, but does not call for developing effective models for encoding information into haptics. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Brown et al. (2014) make the case that there may be upper resolution limits for sonification of visual information.

    “Brown et al. (2014) make the case that there may be upper resolution limits for sonification of visual information.”

    From Designing sensory-substitution devices: Principles, pitfalls and potential1 (2016) · cites this paper as Brown et al. (2014)

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Research works printed but not linked: 18

  1. Ahissar, M., Nahum, M., Nelken, I. and Hochstein, S. (2009). Reverse hierarchies and sensory learning, Phil. Trans. R. Soc. B 364, 285-299.
  2. Bach-y-Rita, P., Collins, C. C., Saunders, F. A., White, B. and Scadden, L. (1969). Vision sub- stitution by tactile image projection, Nature 221(5184), 963-964.
  3. Barton, B., Venezia, J. H., Saberi, K., Hickok, G. and Brewer, A. A. (2012). Orthogonal acoustic dimensions define auditory field maps in human cortex, Proc. Natl Acad. Sci. USA 109, 20738-20743.
  4. Benav, H., Bartz-Schmidt, K. U., Besch, D., Bruckmann, A., Gekeler, F., Greppmaier, U., Harscher, A., Kibbel, S., Kusnyerik, A., Peters, T., Sachs, H., Stett, A., Stingl, K., Wil- helm, B., Wilke, R., Wrobel, W. and Zrenner, E. (2010). Restoration of useful vision up to letter recognition capabilities using subretinal microphotodiodes, Conf. Proc. IEEE Eng. Med. Biol. Soc. 2010, 5919-5922.
  5. Brown, D. J. and Proulx, M. J. (2013). Increased signal complexity improves the breadth of generalization in auditory perceptual learning, Neural Plast. 879047. DOI:10.1155/2013/ 879047. · DOI
  6. Capelle, C., Trullemans, C., Arno, P. and Veraart, C. (1998). A real-time experimental prototype for enhancement of vision rehabilitation using auditory substitution, IEEE Trans. Biomed. Eng. 45, 1279-1293.
  7. Chai, X., Li, L., Wu, K., Zhou, C., Cao, P. and Ren, Q. (2008a). C-sight visual prostheses for the blind, IEEE Eng. Med. Biol. Mag. 27(5), 20-28.
  8. Ding, N. and Simon, J. Z. (2012). Emergence of neural encoding of auditory objects while listening to competing speakers, Proc. Natl Acad. Sci. USA 109, 11854-11859.
  9. Keseru, M., Feucht, M., Bornfeld, N., Laube, T., Walter, P., Rossler, G., Velikay-Parel, M., Hornig, R. and Richard, G. (2012). Acute electrical stimulation of the human retina with an epiretinal electrode array, Acta Ophthalmol. 90, e1-e8. DOI:10.1111/j.1755-3768.2011. 02288.x. · DOI
  10. Mesgarani, N. and Chang, E. F. (2012). Selective cortical representation of attended speaker in multi-talker speech perception, Nature 485(7397), 233-236.
  11. Pasley, B. N., David, S. V., Mesgarani, N., Flinker, A., Shamma, S. A., Crone, N. E., Knight, R. T. and Chang, E. F. (2012). Reconstructing speech from human auditory cortex, PLoS Biol. 10(1), e1001251. DOI:10.1371/journal.pbio.1001251. · DOI · Paper page
  12. Plaza, P., Cuevas, I., Grandin, C., De Volder, A. G. and Renier, L. (2012). Looking into task- specific activation using a prosthesis substituting vision with audition, ISRN Rehabil. 2012, 15. DOI:10.5402/2012/490950. · DOI
  13. Simon, J. Z. and Ding, N. (2010). Magnetoencephalography and auditory neural representa- tions, 26th Southern Biomedical Engineering Conference: Sbec 2010, 32, 45-48.
  14. Simpson, A. J. and Reiss, J. D. (2013). The dynamic range paradox: a central auditory model of intensity change detection, PLoS One 8(2), e57497. DOI:10.1371/journal.pone.0057497. · DOI
  15. Simpson, A. J., Reiss, J. D. and McAlpine, D. (2013). Tuning of human modulation filters is carrier-frequency dependent, PLoS One 8(8), e73590. DOI:10.1371/journal.pone.0073590. · DOI
  16. Striem-Amit, E., Guendelman, M. and Amedi, A. (2012). 'Visual' acuity of the con- genitally blind using visual-to-auditory sensory substitution, Plos One 7(3), e33136. DOI:10.1371/journal.pone.0033136. · DOI · Paper page
  17. Teki, S., Chait, M., Kumar, S., Shamma, S. and Griffiths, T. D. (2013). Segregation of complex acoustic scenes based on temporal coherence, Elife 2, e00699. DOI:10.7554/eLife.00699. · DOI
  18. Zrenner, E., Bartz-Schmidt, K. U., Benav, H., Besch, D., Bruckmann, A., Gabel, V.-P., Gekeler, F., Greppmaier, U., Harscher, A., Kibbel, S., Koch, J., Kusnyerik, A., Peters, T., Stingl, K., Sachs, H., Stett, A., Szurman, P., Wilhelm, B. and Wilke, R. (2011). Subretinal elec- tronic chips allow blind patients to read letters and combine them to words, Proc. Biol. Sci. 278(1711), 1489-1497.

Cited by

Sorted by citations

Authors
Brown, D. J., Simpson, A. J. R., & Proulx, M. J.
Affiliations
  • Queen Mary University of London (GB)
  • University of Bath (GB)
Venue
Multisensory Research
Published
2014
Volume
27
Issue
5-6
Pages
337-357
ISSN
  • 2213-4794 (ISSN-L)
  • 2213-4808
OpenAlex
W2154733620
Cited by
23
References
14
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 1 · 2017: 1 · 2016: 5 · 2015: 5 · 2014: 1
FWCI
2.23
Type
journal article
Language
en
Open access
Locations
  • Multisensory Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • The University of Bath Online Publications Store (The University of Bath) (submittedVersion, cc-by)
  • Pure (University of Bath) (submittedVersion, cc-by)
Funders
  • Queen Mary University of London
  • Engineering and Physical Sciences Research Council (EP/J017205/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
sensory substitution, voice, sonification, visual impairment, image resolution, ceiling effect, perceptual training, visual imagery, tactile perception
MeSH terms
Adolescent, Adult, Auditory Perception, Blindness, Discrimination, Psychological, Female, Form Perception, Humans, Male, Self-Help Devices, Sensory Deprivation, Touch Perception, Young Adult

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