{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-neural-field-model-for-color-perception","title":"A neural field model for color perception unifying assimilation and contrast","arxiv_id":"1810.12898","date":"2019-06-28","proceeding":null,"authors":[],"abstract":"We address the question of color-space interactions in the brain, by\nproposing a neural field model of color perception with spatial context for the\nvisual area V1 of the cortex. Our framework reconciles two opposing perceptual\nphenomena, known as simultaneous contrast and chromatic assimilation. They have\nbeen previously shown to act synergistically, so that at some point in an\nimage, the color seems perceptually more similar to that of adjacent neighbors,\nwhile being more dissimilar from that of remote ones. Thus, their combined\neffects are enhanced in the presence of a spatial pattern, and can be measured\nas larger shifts in color matching experiments. Our model supposes a\nhypercolumnar structure coding for colors in V1, and relies on the notion of\ncolor opponency introduced by Hering. The connectivity kernel of the neural\nfield exploits the balance between attraction and repulsion in color and\nphysical spaces, so as to reproduce the sign reversal in the influence of\nneighboring points. The color sensation at a point, defined from a steady state\nof the neural activities, is then extracted as a nonlinear percept conveyed by\nan assembly of neurons. It connects the cortical and perceptual levels, because\nwe describe the search for a color match in asymmetric matching experiments as\na mathematical projection on color sensations. We validate our color neural\nfield alongside this color matching framework, by performing a multi-parameter\nregression to data produced by psychophysicists and ourselves. All the results\nshow that we are able to explain the nonlinear behavior of shifts observed\nalong one or two dimensions in color space, which cannot be done using a simple\nlinear model.","url_abs":"http://arxiv.org/abs/1810.12898v2","url_pdf":"http://arxiv.org/pdf/1810.12898v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-neural-field-model-for-color-perception","repo_url":"https://github.com/ansonang3/colorneuralfield","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}