{"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-simple-reservoir-model-of-working-memory","title":"A Simple Reservoir Model of Working Memory with Real Values","arxiv_id":"1806.06545","date":"2018-06-18","proceeding":null,"authors":["Anthony Strock","Nicolas Rougier","Xavier Hinaut"],"abstract":"The prefrontal cortex is known to be involved in many high-level cognitive\nfunctions, in particular, working memory. Here, we study to what extent a group\nof randomly connected units (namely an Echo State Network, ESN) can store and\nmaintain (as output) an arbitrary real value from a streamed input, i.e. can\nact as a sustained working memory unit. Furthermore, we explore to what extent\nsuch an architecture can take advantage of the stored value in order to produce\nnon-linear computations. Comparison between different architectures (with and\nwithout feedback, with and without a working memory unit) shows that an\nexplicit memory improves the performances.","url_abs":"http://arxiv.org/abs/1806.06545v1","url_pdf":"http://arxiv.org/pdf/1806.06545v1.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-simple-reservoir-model-of-working-memory","repo_url":"https://github.com/anthony-strock/ijcnn2018","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}