摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章包括两部分：第一部分介绍了关于《大脑处理信息的过程存储和重组模型》中Bi链的一些细节；第二部分介绍对“处理某一信息（例如一幅图）相关网络”定义理解的一个细节；第三部分给出了关于metadata的一些说明 。 关键词 过程存储和重组模型；时序控制；脑电波；微循环；结构风险；中枢神经系统；信息处理； 微环路 ； 时间认知 ； 智力起源；大脑量化模型 Details of Quantitative Model of Brain Information Processing XIII XIEQIN 1,* Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures introduced details of the quantitative model. This article introduces more details. Keywords: model of process storing and recalling; timing control; EEG; microcirculation; structure risk minimization; CNS; information processing; micro circuit; time cognition; origin of intelligence; quantitative model of brain information processing 大脑处理信息量化模型中的细节汇编十三.doc
摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章包括三部分：第一部分给出了一些说明；第二部分给出了一些可使细胞群间形成“较强的抑制性连接”机制的图示；第三部分介绍了从另一个角度的，对 大脑解决大规模神经网络处理复杂信息时的样本量和网络规模匹配问题的机制所产生效果的描述 。 关键词 过程存储和重组模型；时序控制；脑电波；微循环；结构风险；中枢神经系统；信息处理； 微环路 ； 时间认知 ； 智力起源；大脑量化模型 Details of Quantitative Model of Brain Information Processing XII XIEQIN 1,* Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing.Literatures introduced details of the quantitative model. This article introduces more details. Keywords: model of process storing and recalling; timing control; EEG; microcirculation; structure risk minimization; CNS; information processing; micro circuit; time cognition; origin of intelligence; quantitative model of brain information processing 大脑处理信息量化模型中的细节汇编十二.doc
Comprehensive Report Of A Quantitative Model Of Brain Information Processing And Its Details XIEQIN1* Abstract: Literatures suggested blood circulation is a basic timing control mechanism when brain processing information; suggested a quantitative model of brain information processing and with help of structural risk minimization theory, analysed the reason why timing control function is important when brain processing information efficiently and correctly. Literatures introduced details of the quantitative model that suggested by literatures . In the quantitative model, a neural network with feedback circuits is treated as a set of feed-forward networks without feedback circuits; process of storing a piece of information (eg. a graphic, or a frame of a film) into brain is described as a process of training a set of feed-forward networks with a set of samples; process of recalling a piece of information is described as a process of a set of trained feed-forward networks processing input samples. Literatures analyse reasons why timing control function of blood circulation is important when brain processing information efficiently and correctly; introduce information processing mechanisms that enable brain to process information correctly and efficiently; introduce the origin of intelligence; introduce some basic neural network principles of ‘theorizing’; analyse the reason why there are only relative truths in cognition. There are many physiological details and mathematical details in the quantitative model. This article is a comprehensive report, introduces the quantitative model and its details that published in literatures again, including 4 parts. Part 1 contains 6 items, introduces the basic framework of the quantitative solution. Part 2 contains 5 items, introduces some details of the quantitative solution. Contents in Part 1 and Part 2 are about network analysis, sample definition, how to describe the process of storing a piece of information into brain as a process of training a set of feed-forward networks, how to describe the process of recalling a piece of information as a process of a set of feed-forward networks processing input samples. Part 3 contains 11 items, introduces the advantage of the information processing solution of brain: the solution, “when storing a piece of information into brain, feed-forward neural networks in the feed-forward neural network set store information in distribution characters of samples (input and output vectors), when storing and recalling a piece of information, using the mechanisms that described in literatures ”, solves the matching problem of sample quantity and network scale when brain processing information and guarantees the reliability of information storing and recalling, result in high efficiency and accuracy of information processing; Part 3 also introduces some figures about timing control function of blood circulation. Part 4 contains 4 items; introduces some basic neural network principles of theorization; analyses the reason why there are only relative truths in cognition; analyses reasons why brain is able to process information correctly and efficiently, introduces the origin of intelligence; Part 4 also introduces another quantitative solution of brain information processing. Keywords: model of process storing and recalling; timing control; EEG; microcirculation; structure risk minimization; CNS; information processing; micro circuit; time cognition; origin of intelligence; quantitative model of brain information processing Comprehensive Report Of A Quantitative Model Of Brain Information Processing And.doc Comprehensive Report .part1.rar Comprehensive Report .part2.rar Comprehensive Report .part3.rar
摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章说明 文献 第四部分第二段第一句中，“形成‘速度’等概念”中的“形成‘速度’概念”是指形成速度概念中“表述物体运动快慢”等部分出现时间比较古老的内涵，这部分内涵在文献 提到的匀速直线运动相关理论中被保留下来。这里的叙述把“表述物体运动快慢”作为速度概念的一个重要属性，这个属性和其他一系列属性组成的属性集合把速度概念和其他概念区分开。 Details of Quantitative Model of Brain Information Processing XI Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures introduced details of the quantitative model. This article introduces more details. Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition; origin of intelligence 1 ．一些说明 文献 第四部分第二段第一句中，“形成‘速度’等概念”中的“形成‘速度’概念”是指形成速度概念中“表述物体运动快慢”等部分出现时间比较古老的内涵，这部分内涵在文献 提到的匀速直线运动相关理论中被保留下来。 在这里的叙述中，把“表述物体运动快慢”作为速度概念的一个重要属性，这个属性和其他一系列属性组成的属性集合把速度概念和其他概念区分开。
大脑处理信息量化模型中的细节汇编十.doc 摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章包括两部分：第一部分给出了应用结构风险最小化相关理论对大脑处理信息的过程进行分析的图示 。第二部分给出了一些说明。 关键词 过程存储与重组模型；时序控制；微循环；结构风险；中枢神经系统；信息处理；时间认知 中图分类号： Q426 文献标识码： A 文章编号： Details of Quantitative Model of Brain Information Processing X XIEQIN 1,* Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures introduced details of the quantitative model. This article introduces more details, including 2 parts. Part 1 gives two figures about application of structural risk minimization theory. Part 2 gives some explanations. Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition
大脑处理信息量化模型中的细节汇编九.doc 摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章包括两部分：第一部分讨论了关于智力起源的问题。 大脑神经网络的各个生化参数（如不同 O2 、 H+ 浓度下细胞的放电频率、细胞间连接修改程度、遗忘率等）和血液循环的时序控制作用、海马结构等生理机制和结构通过文献 所述运作机制相互配合，对不同的信息处理组织起不同的子网络，并保证所保存信息的稳定性 , 从而能准确而高效地处理信息。在此基础上发展起语言机制，进一步可以对不同的信息处理组织起不同的子网络，从而能更准确而高效地处理信息 , 为智力的起源奠定了基础。第二部分介绍了一些关于实现信息可靠存储的细节。 关键词 过程存储与重组模型；时序控制；微循环；结构风险；中枢神经系统；信息处理；时间认知 中图分类号： Q426 文献标识码： A 文章编号： Details of Quantitative Model of Brain Information Processing IX XIEQIN 1,* Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures introduced details of the quantitative model. This article introduces more details, including 2 parts. Part 1 discusses the relationships between the origin of intelligence and the working mechanisms of brain that have been introduced in literatures .Part 2 introduces a reason why the information stored in brain is able to endure for a long time. Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition
大脑处理信息量化模型中的细节汇编八.doc 摘要 ：文献 提出了血液循环在大脑处理信息的过程中具有时序控制作用，并用量化模型结合结构风险最小化相关理论说明时序控制作用的意义。文献 汇总介绍量化模型中的一些细节，本文将继续对更多细节进行介绍，以期同行能更深入理解该模型。文章介绍了对于一个训练好的存储有某一特定信息的子网络，较小幅度地修改权值对原来存储在网络中的信息影响不大的一个原因。 关键词 过程存储与重组模型；时序控制；微循环；结构风险；中枢神经系统；信息处理；时间认知 中图分类号： Q426 文献标识码： A 文章编号： Details of Quantitative Model of Brain Information Processing VIII XIEQIN 1,* Abstract: Literatures suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures introduced details of the quantitative model. This article introduces more details. This article explains why after a piece of information was stored into a sub-network ， modifying weights of the edges of this sub-network in small range is tolerable. Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition
来自于princeton CS的一条科技新闻： Pai and colleagues' HashCache technology named one of Technology Review's Top 10 Emerging Technologies for 2009 February 24, 2009 Vivek Pai's new method for storing Web content could make Internet access more affordable around the world. 项目目标与宏观技术理论介绍 http://www.technologyreview.com/web/22119/ 有关HashCache技术理论的细节请见论文 'HashCache: Cache Storage for the Next Billion' Vivek Pai的主页 视频资料
标签: storing
