| dc.creator | Zhang, Lanhua | |
| dc.creator | Zhang, Dongsheng | |
| dc.creator | Deng, Yuqin | |
| dc.creator | Ding, Xiaoqian | |
| dc.creator | Wang, Yan | |
| dc.creator | Tang, Yiyuan (TTU) | |
| dc.creator | Sun, Baoliang | |
| dc.date.accessioned | 2023-02-02T21:23:31Z | |
| dc.date.available | 2023-02-02T21:23:31Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Zhang, L., Zhang, D., Deng, Y. et al. A simplified computational memory model from information processing. Sci Rep 6, 37470 (2016). https://doi.org/10.1038/srep37470 | en_US |
| dc.identifier.uri | https://doi.org/10.1038/srep37470 | |
| dc.identifier.uri | https://hdl.handle.net/2346/90515 | |
| dc.description | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.description.abstract | This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bi-modular hierarchical functional memory network by abstracting memory function and simulating memory information processing. At first meta-memory is defined to express the neuron or brain cortices based on the biology and graph theories, and we develop an intra-modular network with the modeling algorithm by mapping the node and edge, and then the bi-modular network is delineated with intra-modular and inter-modular. At last a polynomial retrieval algorithm is introduced. In this paper we simulate the memory phenomena and functions of memorization and strengthening by information processing algorithms. The theoretical analysis and the simulation results show that the model is in accordance with the memory phenomena from information processing view. | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | Complex Networks | en_US |
| dc.subject | Computational Models | en_US |
| dc.title | A simplified computational memory model from information processing | en_US |
| dc.type | Article | en_US |
