首页    期刊浏览 2024年12月14日 星期六
登录注册

文章基本信息

  • 标题:A Mathematical Model for Storage and Recall of Images using Targeted Synchronization of Coupled Maps
  • 本地全文:下载
  • 作者:P. Palaniyandi ; Govindan Rangarajan
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • DOI:10.1038/s41598-017-09440-6
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:We propose a mathematical model for storage and recall of images using coupled maps. We start by theoretically investigating targeted synchronization in coupled map systems wherein only a desired (partial) subset of the maps is made to synchronize. A simple method is introduced to specify coupling coefficients such that targeted synchronization is ensured. The principle of this method is extended to storage/recall of images using coupled Rulkov maps. The process of adjusting coupling coefficients between Rulkov maps (often used to model neurons) for the purpose of storing a desired image mimics the process of adjusting synaptic strengths between neurons to store memories. Our method uses both synchronisation and synaptic weight modification, as the human brain is thought to do. The stored image can be recalled by providing an initial random pattern to the dynamical system. The storage and recall of the standard image of Lena is explicitly demonstrated.
国家哲学社会科学文献中心版权所有