首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:A Mathematical Theory of Cortex-Receptor Artificial Extension
  • 本地全文:下载
  • 作者:You-Lu Xing
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • 页码:1-12
  • DOI:10.1038/s41598-020-57591-w
  • 出版社:Springer Nature
  • 摘要:Abstract Many physiology experiments demonstrate that an organism’s cortex and receptor system can be artificially extended, giving the organism new types of perceptual capabilities. To examine artificial extension of the cortex-receptor system, I propose a computational model that allows new types of sensory pathways to be added directly to the computational model itself in an online manner. A synapse expandable artificial neuron model that can grow new synapses, forming a bridge between the novel perceptual information and the existing neural network is introduced to absorb the novel sensory pathway. The experimental results show that the computational model can effectively integrate sudden emerged sensory channels and the neural circuits in the computational model can be reused for novel modalities without influencing the original modality.
国家哲学社会科学文献中心版权所有