A Memory Mechanism Based on Strongly Connected Neuron Network

DOI

10.2991/sohe-19.2019.26How to use a DOI?

Keywords

Memory, Two-dimension Code, Neuron network, Education

Abstract

Several memory models have been presented, including the working memory concept, the associative memory, the parallel distributed processing model, the model for adaptive control of thought and the concept for retrieving effectively from memory (REM). Recently, more efforts were made in gene and molecular analysis, synapse transition, sleeping behavior, self-resonating and so on. Yet to date it is still not clearly whether the memorized data in a brain are stored in a neuron network or synapse, or in molecules, or even in nuclear spin. Here we present a model for the material foundation of memory. We believe that the basic information data of memory in a brain are stored in the form of 2D codes. Each 2D code consists of many neurosomes that are strongly connected with electrical synapses. This model indicated that the memory capacity was limited in brain, which may help us to explore better education strategies.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jingjing Xu
AU  - Song Ge
AU  - Shengyong Xu
PY  - 2019/05
DA  - 2019/05
TI  - A Memory Mechanism Based on Strongly Connected Neuron Network
BT  - Proceedings of the 2nd Symposium on Health and Education 2019 (SOHE 2019)
PB  - Atlantis Press
SP  - 154
EP  - 159
SN  - 2352-5398
UR  - https://doi.org/10.2991/sohe-19.2019.26
DO  - 10.2991/sohe-19.2019.26
ID  - Xu2019/05
ER  -