{"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/associative-memory-impairments-arising-from","title":"Associative Memory Impairments arising from Neurodegenerative Diseases and Traumatic Brain Injuries in a Hopfield Network Model","arxiv_id":"1609.07656","date":"2016-09-24","proceeding":null,"authors":[],"abstract":"Neurodegenerative diseases and traumatic brain injuries (TBI) are among the\nmain causes of cognitive dysfunction in humans. Both manifestations exhibit the\nextensive presence of focal axonal swellings (FAS). FAS compromises the\ninformation encoded in spike trains, thus leading to potentially severe\nfunctional deficits. Complicating our understanding of the impact of FAS is our\ninability to access small scale injuries with non-invasive methods, the overall\ncomplexity of neuronal pathologies, and our limited knowledge of how networks\nprocess biological signals. Building on Hopfield's pioneering work, we extend a\nmodel for associative memory to account for FAS and its impact on memory\nencoding. We calibrate all FAS parameters from biophysical observations of\ntheir statistical distribution and size, providing a framework to simulate the\neffects of brain disorders on memory recall performance. A face recognition\nexample is used to demonstrate and validate the functionality of the novel\nmodel. Our results link memory recall ability to observed FAS statistics,\nallowing for a description of different stages of brain disorders within\nneuronal networks. This provides a first theoretical model to bridge\nexperimental observations of FAS in neurodegeneration and TBI with compromised\nmemory recall, thus closing the large gap between theory and experiment on how\nbiological signals are processed in damaged, high-dimensional functional\nnetworks. The work further lends new insight into positing diagnostic tools to\nmeasure cognitive deficits.","url_abs":"http://arxiv.org/abs/1609.07656v1","url_pdf":"http://arxiv.org/pdf/1609.07656v1.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":"associative-memory-impairments-arising-from","repo_url":"https://github.com/MelWe/hopf-recognition","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"diagnostic","task_name":"Diagnostic"},{"task_slug":"face-recognition","task_name":"Face Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}