{"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/neural-ideals-in-sagemath","title":"Neural Ideals in SageMath","arxiv_id":"1609.09602","date":"2016-09-30","proceeding":null,"authors":[],"abstract":"A major area in neuroscience research is the study of how the brain processes\nspatial information. Neurons in the brain represent external stimuli via neural\ncodes. These codes often arise from stereotyped stimulus-response maps,\nassociating to each neuron a convex receptive field. An important problem\nconsists in determining what stimulus space features can be extracted directly\nfrom a neural code. The neural ideal is an algebraic object that encodes the\nfull combinatorial data of a neural code. This ideal can be expressed in a\ncanonical form that directly translates to a minimal description of the\nreceptive field structure intrinsic to the code. In here, we describe a\nSageMath package that contains several algorithms related to the canonical form\nof a neural ideal.","url_abs":"http://arxiv.org/abs/1609.09602v1","url_pdf":"http://arxiv.org/pdf/1609.09602v1.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":"neural-ideals-in-sagemath","repo_url":"https://github.com/e6-1/NeuralIdeals","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"form","task_name":"Form"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1609.09602","atlas_url":"https://app.syntology.ai/?focus=1609.09602","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}