{"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/synaptic-metaplasticity-in-binarized-neural-1","title":"Synaptic metaplasticity in binarized neural networks","arxiv_id":"2101.07592","date":"2021-01-19","proceeding":null,"authors":["Axel Laborieux","Maxence Ernoult","Tifenn Hirtzlin","Damien Querlioz"],"abstract":"Unlike the brain, artificial neural networks, including state-of-the-art deep neural networks for computer vision, are subject to \"catastrophic forgetting\": they rapidly forget the previous task when trained on a new one. Neuroscience suggests that biological synapses avoid this issue through the process of synaptic consolidation and metaplasticity: the plasticity itself changes upon repeated synaptic events. In this work, we show that this concept of metaplasticity can be transferred to a particular type of deep neural networks, binarized neural networks, to reduce catastrophic forgetting.","url_abs":"https://arxiv.org/abs/2101.07592v1","url_pdf":"https://arxiv.org/pdf/2101.07592v1.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":"synaptic-metaplasticity-in-binarized-neural-1","repo_url":"https://github.com/Laborieux-Axel/SynapticMetaplasticityBNN","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2101.07592","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}