A Chessboard Model of Human Brain and An Application on Memory Capacity

Chenxia Gu, Shaotong Wang, Hao Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The famous claim that we only use about 10% of the brain capacity has recently been challenged. Researchers argue that we are likely to use the whole brain, against the 10% claim. Some evidence and results from relevant studies and experiments related to memory in the field of neuroscience lead to the conclusion that if the rest 90% of the brain is not used, then many neural pathways will degenerate. What is memory? How does the brain function? What would be the limit of memory capacity? This article provides a model established upon the physiological and neurological characteristics of the human brain, which can give some theoretical support and scientific ex-planation to explain some phenomena. It may not only have theoretically significance in neuros-cience, but can also be practically useful to fill in the gap between the natural and machine intel-ligence.

Original languageEnglish
Pages (from-to)359-367
Number of pages9
JournalZeitschrift fur Angewandte Mathematik und Physik
Volume4
Issue number2
DOIs
Publication statusPublished - Feb 2016

Keywords

  • Excitation Transmission
  • Machine Intelligence
  • Memory Capacity
  • Neuroscience

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