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URL: http://platform.visiome.neuroinf.jp/
Proper Citation: Visiome Platform (RRID:SCR_003049)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Analytical tools. Archive files may be written in any format and may include explanatory figures, program sources, readme files, and other related files. The readme file describes the purpose and usage of the archive file. This data sharing framework allows users to improve the reproducibility of simulations. Users can browse the platform contents via branch sites (A catalogue of illusions, Visitope), which introduce user friendly view of items such as basic images and original artworks of visual illusions with high resolution. The items in Visiome Platform are useful not only for reproducing the published results, but also for advancing and expanding the research in Vision Science.
Abbreviations: Visiome
Resource Type: software repository, database, data repository, video resource, data or information resource, image collection, software resource, storage service resource, service resource
Defining Citation: PMID:14622885
Keywords: eye, fft, binocular, circadian, color perception, color transparency, compound, cone, hodgkin-huxley model, illusion, insect vision, matlab, monocular, mst model, multichannel recording, neocognition, neuroinformatics, phase, photoreceptor, psychlops, retina, retinal, rod, spatial frequency, spectrum, traub model, turtle, v1, visual system, vision, simulation, stimulus, data, model, book, url, binder, presentation, paper, tool, data sharing
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Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
