Two experiments evaluated the effect of retinal image size on the proto-object model of visual clutter perception. Experiment 1 had 20 participants order 90 small images of random-category real-world scenes from least to most cluttered. Aggregating these individual rankings into a single median clutter ranking and comparing it to a previously reported clutter ranking of larger versions of the identical scenes yielded a Spearman's ρ=.953 (p<.001), suggesting that relative clutter perception is largely invariant to image size. We then applied the proto-object model of clutter perception to these smaller images and obtained a clutter estimate for each. Correlating these estimates with the median behavioral ranking yielded a Spearman's ρ=.852 (p<.001), which we showed in a comparative analysis to be better than six other methods of estimating clutter. Experiment 2 intermixed large and small versions of the Experiment 1 scenes and had participants (n=18) again rank them for clutter. We found that median clutter rankings of these size-intermixed images were essentially the same as the small and large median rankings from Experiment 1, suggesting size invariance in absolute clutter perception. Moreover, the proto-object model again successfully captured this result. We conclude that both relative and absolute clutter perception is invariant to retinal image size. We further speculate that clutter perception is mediated by proto-objects-a preattentive level of visual representation between features and objects-and that using the proto-object model we may be able to glimpse into this pre-attentive world.
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http://dx.doi.org/10.1016/j.visres.2015.04.017 | DOI Listing |
Int J Audiol
January 2025
Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN, USA.
Objectives: An improvement in speech perception is a major well-documented benefit of cochlear implantation (CI), which is commonly discussed with CI candidates to set expectations. However, a large variability exists in speech perception outcomes. We evaluated the accuracy of clinical predictions of post-CI speech perception scores.
View Article and Find Full Text PDFFront Psychol
January 2025
Institute for General and Hungarian Linguistics, HUN-REN Hungarian Research Centre for Linguistics, Budapest, Hungary.
[This corrects the article DOI: 10.3389/fpsyg.2024.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Computer Science, University of Innsbruck, Technikerstrasse 21a, Innsbruck, 6020, Austria. Electronic address:
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural signals from the high noise content of EEG data. However, this averaging technique may conceal relevant information.
View Article and Find Full Text PDFBrain Sci
December 2024
Institute of Neurology, University Magna Graecia, 88100 Catanzaro, Italy.
Purpose: Cognitive dysfunctions are still very common in the chronic phase of stroke when patients are discharged from neurorehabilitation centers. Even individuals who appear to have made a full clinical recovery may exhibit new deficiencies at home. Here, we present evidence of a novel kind of therapy at home aimed at contrasting the heterogenic evolution of stroke patients using a multidomain cognitive approach.
View Article and Find Full Text PDFCodas
January 2025
Departamento de Fonoaudiologia, Universidade Federal de Minas Gerais - UFMG - Belo Horizonte (MG), Brasil.
Purpose: This study investigated the association between self-perception of stuttering and self-perception of hearing, speech fluency profile, and contextual aspects in Brazilian adults who stutter.
Methods: Fifty-five adults who stutter (ages 18 to 58 years), speakers of Brazilian Portuguese speakers, participated in an observational study that included: (a) a clinical history survey to collect identification, sociodemographic, clinical, and assistance data; (b) the Brazil Economic Classification Criteria (CCEB); (c) a hearing self-perception questionnaire (Speech, Spatial and Qualities of Hearing Scale - SSQ, version 5.6); (d) self-perception of the impact of stuttering (Brazilian Portuguese version of the Overall Assessment of the Speaker's Experience of Stuttering - Adults - OASES-A); and (e) an assessment of speech fluency (Fluency Profile Assessment Protocol -- PAPF).
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