Ion-Molecular Memory Model. Coding Techniques (Formalization) and Transfer of Information

Author:

Герасимов ,Gerasimov I.,Яшин ,Yashin A.

Abstract

In previous papers, the authors examined the material elements of memory. This paper is devoted to the methods of coding and transfer information. Encoding mechanisms and spectrum of activity of hydrogen ions, as the dominant feature in the process of encoding information, were studied. In particular, the role of the tunneling effect - as the ability of a hydrogen ion H+ to change their position without loss of energy - was marked. The ability to relay proton transfer in the basic biochemical reactions was noted. The authors identified the main thing - compared with other ions of the material structure of the brain - the small mass of the proton makes it unique among them in this aspect encoding, and transfer information in realization of the mechanism of memory. The basic concept is the informational code memory. Herewith, the actual coding of the information is considered as far from a trivial task, but it is quite solvable (i.e. analyzed in memory model), given the large number of parameters of the electric neural signal. Another aspect is that whatever happened encoding when saving the information in memory should be recoding of parameters of electrical signals parameters of structure and energy of biopolymers or other drives. To retrieve information from memory must be implemented by its decoding images, verbal or other characteristics. The authors note that mechanisms decoding in-memory structure previously known to the authors of the works were not discussed at all. The article considers the basic notion of the spectrum of the activity of hydrogen ions (SАHI). It is SAHI as the general characteristics of the activity of proton, defines all of the “subtle” mechanisms the effectiveness of ion-molecular memory model. It is shown that only the uniqueness of the proton, as biochemical agent, and led him to the isolation of the other ion - as an important element of memory.

Publisher

Infra-M Academic Publishing House

Reference33 articles.

1. Герасимов И.Г., Яшин А.А. Ионно-молекулярноая модель памяти. Введение. Основные определения. Виды памяти (краткий обзор) // Вестник новых медицинских технологий. 2013. Т. 20. № 4. C. 165-171., Gerasimov IG, Yashin AA. Ionno-molekulyarnoaya model´ pamyati. Vvedenie. Osnovnye opredeleniya. Vidy pamyati (kratkiy obzor) [Ion‐molecular memory model. Basic notions. Types of Memory (Review)]. Vestnik novykh meditsinskikh tekhnologiy. 2013;20(4):165-171. Russian.

2. Герасимов И.Г., Яшин А.А. Ионно-молекулярноая модель памяти. Материальные носители доставки и хранения информации // Вестник новых медицинских технологий. 2013. Т. 20. № 4. C. 171-176, Gerasimov IG, Yashin AA. Ionno-molekulyarnoaya model´ pamyati. Material´nye nositeli dostavki i khraneniya informatsii [Ion‐Molecular Memory Model. Physical Media Delivery and Storage of Informatio]. Vestnik novykh meditsinskikh tekhnologiy. 2013. T. 20. № 4. C. 171-6. Russian.

3. Психофизиология / Под ред. Ю.А. Александрова. СПб.: Питер, 2007. 464 с., Psikhofiziologiya / Pod red. Yu.A. Aleksandrova. Sankt-Peterburg: Piter; 2007. Russian.

4. Бернштейн Н.А. Современные искания в физиологии нервного процесса. М.: Смысл, 2003. 330 с., Bernshteyn NA. Sovremennye iskaniya v fiziolo-gii nervnogo protsessa. Moscow: Smysl; 2003. Russian.

5. Кобозев Н.И. Исследование в области термодинамики процессов информации и мышления. М.: Изд-во Моск. ун-та, 1971. 196 с., Kobozev NI. Issledovanie v oblasti termodinamiki protsessov informatsii i myshleniya. Moscow: Izd-vo Mosk. un-ta; 1971. Russian.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3