| 000 | 03954naaaa2200361uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/61795 | ||
| 005 | 20220220092844.0 | ||
| 020 | _a978-2-88919-753-8 | ||
| 020 | _a9782889197538 | ||
| 024 | 7 |
_a10.3389/978-2-88919-753-8 _cdoi |
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| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aRemy Allard _4auth |
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| 700 | 1 |
_aJocelyn Faubert _4auth |
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| 700 | 1 |
_aDenis G. Pelli _4auth |
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| 245 | 1 | 0 | _aUsing Noise to Characterize Vision |
| 260 |
_bFrontiers Media SA _c2016 |
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| 300 | _a1 electronic resource (127 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
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| 520 | _aNoise has been widely used to investigate the processing properties of various visual functions (e.g. detection, discrimination, attention, perceptual learning, averaging, crowding, face recognition), in various populations (e.g. older adults, amblyopes, migrainers, dyslexic children), using noise along various dimensions (e.g. pixel noise, orientation jitter, contrast jitter). The reason to use external noise is generally not to characterize visual processing in external noise per se, but rather to reveal how vision works in ordinary conditions when performance is limited by our intrinsic noise rather than externally added noise. For instance, reverse correlation aims at identifying the relevant information to perform a given task in noiseless conditions and measuring contrast thresholds in various noise levels can be used to understand the impact of intrinsic noise that limits sensitivity to noiseless stimuli. Why use noise? Since Fechner named it, psychophysics has always emphasized the systematic investigation of conditions that break vision. External noise raises threshold hugely and selectively. In hearing, Fletcher used noise in his famous critical-band experiments to reveal frequency-selective channels in hearing. Critical bands have been found in vision too. More generally, the big reliable effects of noise give important clues to how the system works. And simple models have been proposed to account for the effects of visual noise. As noise has been more widely used, questions have been raised about the simplifying assumptions that link the processing properties in noiseless conditions to measurements in external noise. For instance, it is usually assumed that the processing strategy (or mechanism) used to perform a task and its processing properties (e.g. filter tuning) are unaffected by the addition of external noise. Some have suggested that the processing properties could change with the addition of external noise (e.g. change in filter tuning or more lateral masking in noise), which would need to be considered before drawing conclusions about the processing properties in noiseless condition. Others have suggested that different processing properties (or mechanisms) could be solicited in low and high noise conditions, complicating the characterization of processing properties in noiseless condition based on processing properties identified in noise conditions. The current Research Topic probes further into what the effects of visual noise tell us about vision in ordinary conditions. Our Editorial gives an overview of the articles in this special issue. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
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| 546 | _aEnglish | ||
| 653 | _aLinear amplifier model | ||
| 653 | _aContrast jitter | ||
| 653 | _aNoise | ||
| 653 | _aperceptual template model | ||
| 653 | _abandpass noise | ||
| 653 | _aEquivalent input noise | ||
| 653 | _anoise image classification | ||
| 653 | _aphase noise | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttp://journal.frontiersin.org/researchtopic/1423/using-noise-to-characterize-vision _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/61795 _70 _zDOAB: description of the publication |
| 999 |
_c78680 _d78680 |
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