We hear periodic sounds, or tones, by means of parallel auditory filters, each tuned to a band of temporal frequency, and we see periodic patterns, or gratings, by means of parallel visual filters, each tuned to a band of spatial frequency. Beyond helping us to see gratings, do these visual filters participate in everyday tasks such as reading and object recognition? After all, grafting visibility only requires the distinguishing of pattern from blank, whereas object recognition, for example letter identification, requires classification by the observer into one of many learned categories. Here we make use of results from hearing research, applying to vision a noise-masking paradigm that reveals the filter(s) mediating any threshold task. We find that letter-identification and grating-detection filters are identical, showing that the recognition of these objects at one size is mediated and constrained by a single visual filter, or 'channel'.
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http://dx.doi.org/10.1038/369395a0 | DOI Listing |
Front Child Adolesc Psychiatry
August 2024
Department of Occupational Therapy Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Background: Restricted and repetitive behavior (RRB) is a core symptom of autism spectrum disorder (ASD). The structure of RRB subcategories and their relationship with atypical sensory processing in Japan are not well understood. This study examined subcategories of the RRB in Japanese children with ASD and explored their relationship with sensory processing.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Background: This study aimed to evaluate the impact of preoperative visual aids on anxiety and pain management in patients with low educational backgrounds undergoing glaucoma filtering surgery.
Methods: A randomized, single-blinded, single-center clinical trial was conducted at a tertiary eye hospital in Shantou, China. Patients scheduled for glaucoma filtering surgery were randomly assigned to either a conventional oral education group or a visual aids group.
Cureus
December 2024
Department of Hematology, Hamad Medical Corporation, Doha, QAT.
This study conducts a bibliometric analysis (BA) to map the research landscape surrounding chronic kidney disease (CKD) and iron overload over the past decade. Utilizing PubMed as the primary database, a systematic search strategy was developed using BA guidelines, incorporating keyword and MeSH term refinements for comprehensive data retrieval. A Boolean operator-based search strategy was applied, capturing literature from 2014 to the first quarter of 2024, with inclusion criteria focusing on articles and review articles published in English.
View Article and Find Full Text PDFAm J Ophthalmol
January 2025
Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan. Electronic address:
Purpose: A previously developed machine-learning approach with Kalman-filtering technology accurately predicted disease trajectory for patients with various glaucoma types and severities using clinical trials data. This study assesses performance of the KF approach with real-world data.
Design: Retrospective cohort study.
J Chem Inf Model
January 2025
Theory and Simulation of Complex Systems, Institute of Physical Chemistry, Heinrich-Heine Universität, Universitätsstr. 1, 40225 Düsseldorf, Germany.
Understanding and analyzing large-scale reaction networks is a fundamental challenge due to their complexity and size, often beyond human comprehension. In this paper, we introduce AUTOGRAPH, the first web-based tool designed for the interactive three-dimensional (3D) visualization and construction of reaction networks. AUTOGRAPH emphasizes ease of use, allowing users to intuitively build, modify, and explore individual reaction networks in real time.
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