Timer role of blood circulation when brain processing information

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XIEQIN
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Abstract: After publish of <

Abstract: After publish of < Storing and Re-engineering of Models of Cerebral Information Process >and   <Timer Role of Blood Circulation when Brain Processing Information>, some peers fed back that the papers are hard to understand. This paper gives brief pictures and review of [1] [2] [3] [4] [5]. This paper gives a brief review of evidences that support blood circulation has timing control function when brain processing information: (1) Because the diameters of capillaries can be smaller than a pyramid cell, artery blood can engender concentration differences of matters brought by itself in a spatial precision of a single cell. (2)Because blood vessels can relatively maintain their modal stability in a time scale of second, the sub networks that formed by microcirculation mechanism when processing different information have relative stability and changeability. (3)Transport speeds of some matters (e.g. O2, CO2) from capillaries to tissue (or from tissue to capillaries) are quick enough, so that concentration differences of these matters can be engendered as soon as artery blood arrives. (4)Concentration differences that have been engendered are able to effect information processing. For example, H+ can depress NMDA receptors; O2 effects the production of ATP. (5) One will lost conscious 5-10 seconds after stop of blood supply, this time scale is same with active periods of micro arteries and capillaries.(6)Some matters brought by artery blood are ‘bottle neck matters’ of biochemical reactions, e.g. O2.(7)EEG phenomena that are mentioned in the EEG model we have built. This paper gives a brief review of the EEG model that we have built. With the help of some math tools from artificial intelligence area (e.g. Structure risk minimization etc.), this paper explains why timing control function of blood circulation is important when brain processing information efficiently; and explains why physiology structures and mechanisms that are able to organize respective sub networks (e.g. language mechanism, hippocampus formation etc. ) when brain processing different information are important when brain processing information efficiently.
Keywords: model of process storing and recalling; EEG; blood circulation; timing control; Structure risk minimization; time cognition; information process; CNS;

XIEQIN
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 References

 References

[1] Xie Qin, Wang Yi-rong. Storing and Re-engineering of Models of Cerebral Information Process [J]. Progress ofModern Biomedicine, 2007,(3):432-435,439

[2]Xie Qin. Timer Role of Blood Circulation When Brain Processing Information [J].Progress of Modern Biomedicine, 2008, (6):1152-1159

[3] Xie Qin. Model of Process Storing and Recalling[Z].www.sciam.com.cn, 2006

[4] Xie Qin. A Viewpoint about origin and meaning of EEGs[C].Proceedings of the 7th Biennial Meeting and the 5th Congress of the Chinese Society for Neuroscience. Beijing: Science Press, 2007:144

[5] Xie Qin. A Review of <Timer Role of Blood Circulation When Brain Processing Information>[C].Proceedings of the 8th Biennial Meeting of the Chinese Society for Neuroscience. Beijing: Science Press. 2009: 135

[6] Yao Tai, Cao Ji-min, Fan Xiao-li, et al. Physiology (Textbook for 8-year students of Medical)[M]. Beijing: People’s Medical Publishing House. 2005: 503-504

[7] Guan Xin-min, Han Ji-sheng, et al. Medical Neurobiology[M]. Beijing: People’s Medical Publishing House. 2002:121

[8] Okuma T(Author),Zhou Jin-hua(Translator).Clinical Electroencephalogram [M].Beijing: Tsinghua Publishing house. 2005

[9] Huang Yuan-gui, Wu Sheng-ling.Clinical Electroencephalogram [M].Xian: Shanxi Science Publishing House.1984

[10] Ramura S, Tateishi M. Capabilities of Four-Layered Feedforward NN, Four Layers Versus Three Layers[J]. IEEE Trans NN, 1997, 2(8):251-255

[11] Yan Ping-fan, Zhang Chang-shui. Artificial Neural Networks and Evolutionary Computing[M]. Beijing: Tsinghua Publishing House. 2004

[12] Brack J. On the Number of Spurious Memories in the Hopfield Model[J]. IEEE Trans, 1990, IT-36:393-397.

XIEQIN
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Review

Review

XIEQIN
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By timing control function of

By timing control function of blood circulation, language mechanism etc., brain solves the matching problem between quantity of training sample and scale of network. Solution of the matching problem results in high accuracy and efficiency of information processing.
 
Symptoms of anoxia or oxygen toxicity indicate that when malfunction of timing control function(on the time scale of seconds or even smaller) happened, only connections among cells can’t guarantee good cooperation of nerve cells in different lobes of the brain.

XIEQIN
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About matching problem of

About matching problem of sample quantity and network scale

work123
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matching problem of sample

matching problem of sample quantity and network scale p1

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p2

p2

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p3

p3

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p4

p4

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p5

p5

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p6

p6

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p7

p7

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p8

p8

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p9

p9

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p10

p10

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sample recombination  p1

sample recombination  p1

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p2

p2

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p3

p3

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p4

p4

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correction

correction

work123
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Paper had published

Paper had published

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OFFICIAL PUBLICATION DATE:  

OFFICIAL PUBLICATION DATE:   MAY  18TH, 2011

A Review of <Timer role of blood circulation when brain processing information>

work123
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Abstract: After publish of <

Abstract: After publish of < Storing and Re-engineering of Models of Cerebral Information Process >and   <Timer Role of Blood Circulation when Brain Processing Information>, some peers fed back that those papers are hard to understand. In order to make the theory easier to be understood, this paper gives a brief review of [1-5] , including four parts. Part 1 gives a brief review of evidences that support blood circulation has timing control function when brain processing information: (1) Because the diameters of capillaries can be smaller than a pyramid cell, artery blood can engender concentration differences of matters brought by itself in a spatial precision of a single cell. (2)Because blood vessels can relatively maintain their modal stability in a time scale of second, the sub networks that formed by microcirculation mechanism when processing different information have relative stability and changeability. (3)Transport speeds of some matters (e.g. O2, CO2) from capillaries to tissue (or from tissue to capillaries) are quick enough, so that concentration differences of these matters can be engendered as soon as artery blood arrives. (4)Concentration differences that have been engendered are able to effect information processing. For example, H+ can depress NMDA receptors; O2 effects the production of ATP. (5) One will lost conscious 5-10 seconds after stop of blood supply, this time scale is same with active periods of micro arteries and capillaries.(6)Some matters brought by artery blood are ‘bottle neck matters’ of biochemical reactions, e.g. O2.(7)EEG phenomena that are mentioned in the EEG model we have built. Part 2 gives a brief review of the EEG model that we have built. With the help of some math tools from artificial intelligence area (e.g. Structure risk minimization etc.), Part 3 explains why timing control function of blood circulation is important when brain processing information efficiently; and explains why physiology structures and mechanisms that are able to organize respective sub networks (e.g. language mechanism, hippocampus formation etc.) when brain processing different information are important when brain processing information efficiently. Part 4 introduces some viewpoints of “model of process storing and recalling”.
Keywords: model of process storing and recalling; EEG; blood circulation; timing control; Structure risk minimization; time cognition; information process; CNS; micro circulation

pearlpraba
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Respected Sir,

Respected Sir,

                  Your abstract and articles very useful me.Because uses of  my dissertation project.once again thank you very much.

work123
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Official publication date: 

Official publication date:  MAY 25TH, 2011

Matching Problem of Sample Quantity and Network Scale when Brain Processing Information

Abstract: This article introduces a solution of quantifying the information storing and recalling processes of the brain. The solution is basing on math tools from AI area. Under the framework of the solution, analyzing how biochemical parameters of the brain and kinds of physiological mechanisms of the brain affect the processes of storing and recalling a piece of information, it’s helpful for understanding the working mechanism of the brain. With the help of quantify model, we can see there is a matching problem of network training sample quantity and network scale. Timing control function of blood circulation and language mechanisms etc. solve this matching problem by organizing respective sub networks when brain processing different pieces of information because: these physiological mechanisms(timing control function of blood circulation, language mechanism, etc) can cooperate with kinds of biochemical parameters of the brain(e.g. O2 concentration, discharge rate of cell, forgotten rate etc.). The solution of matching problem result in high accuracy and efficiency when brain processing information.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing

networkNN1
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Correction:  

Correction:
 

networkNN1
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About gate value

About gate value

networkNN1
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principle of theory forming

principle of theory forming

networkNN1
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about network rebuilding

about network rebuilding

networkNN1
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About  how to model the

About  how to model the scenario “different output branches of a neuron have different output values”

networkNN1
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About  how to model the

About  how to model the scenario “different output branches of a neuron have different output values”

networkNN1
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how to tell whether a sample

how to tell whether a sample contains a certain AP in some scenarios

networkNN1
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how to tell whether a sample

how to tell whether a sample contains a certain AP in some scenarios

networkNN1
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About Indexing Effect

About Indexing Effect

NNlearning1
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Offical publish date: Dec

Offical publish date: Dec 28th, 2011
 
Details of Quantitative Model of Brain Information Processing
XIEQIN1,*
  
Abstract: Literatures [1-9] suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. This article introduces details of the quantitative model, including 4 parts. Part 1 gives a correction; Part2 introduces "how to define Gate value" in greater details; Part3 introduces the essential nature of "indexing effect" when brain processing information; Part4 introduces some basic neural network principles of "theorizing".
 
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing

NNlearn
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Note:

Note:

NNlearn
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Note:

Note:

NNlearning1
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Offical Publish Date: January

Offical Publish Date: January, 2012

Details of Quantitative Model of Brain Information Processing II
XIEQIN1,*
1 Bureau of Science, Technology and Information of Guangzhou Municipality ; IT&T Department, GAGOC Guangzhou,510000
Abstract: Literatures [1-9] suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literature [10] introduced details of the quantitative model. This article introduces more details of the quantitative model, including 2 parts. Part 1 introduces how to tell whether a sample contains a certain AP in some scenarios; Part 2 introduces how to model the scenario “different output branches of a neuron have different output values”.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing

NNlearning1
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Offical publish date: April

Offical publish date: April 18th, 2012

Details of Quantitative Model of Brain Information Processing III
XIEQIN1,*
Abstract: Literatures [1-9] suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures [10-11] introduced details of the quantitative model. This article introduces more details, including 2 parts. Part1 introduces more details about some descriptions in literature [7]; Part2 introduces an important reason why method introduced in literatures [1-9] is available when evaluating accuracy of information processing; Part3 corrects a clerical error.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing

NNlearning1
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Offical Publish Date: May,

Offical Publish Date: May, 2012
Details of Quantitative Model of Brain Information Processing V
XIEQIN1,*
Abstract: Literatures [1-9] suggest that blood circulation plays the role of basic timer when brain processing information; and suggest a quantitative model of brain information processing. Literatures [10-13] introduced details of the quantitative model. This article introduces more details, including 2 parts. Part 1 gives some explanations; Part2 introduces some details about the mechanism of time cognition.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition

NNlearning1
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References

References
[1]  Xie Qin, Wang Yi-rong. Storing and Re-engineering of Models of Cerebral Information Process [J]. Progress of  Modern Biomedicine, 2007,(3):432-435,439
[2]  Xie Qin. Timer Role of Blood Circulation When Brain Processing Information [J].Progress of Modern Biomedicine, 2008, (6):1152-1159
[3]  Xie Qin. Model of Process Storing and Recalling [Z].www.sciam.com.cn, 2006
[4]  Xie Qin. A Viewpoint about origin and meaning of EEGs[C].Proceedings of the 7th Biennial Meeting and the 5th Congress of the Chinese Society for Neuroscience. Beijing: Science Press, 2007:144
[5]  Xie Qin. A Review of <Timer Role of Blood Circulation When Brain Processing Information>[C].Proceedings of the 8th Biennial Meeting of the Chinese Society for Neuroscience. Beijing: Science Press. 2009: 135 Official Publish Date: 2009
[6]  Xie Qin. A Review of <Timer Role of Blood Circulation When Brain Processing Information>[J].World Health Digest, 2011, 8(20) : 93-98 
      Official Publish Date: May, 2011
[7]  Xie Qin. Matching Problem of Sample Quantity and Network Scale when Brain Processing Information [J].World Health Digest, 2011, 8(21): 88-91
       Official Publish Date: May, 2011
[8]  Xie Qin. Another Sample Recombination Solution for Quantitative Model of Brain Information Processing [J].World Health Digest, 2011, 8(22): 209-210
 Official Publish Date: June, 2011
[9]  Xie Qin. Matching Problem of Sample Quantity and Network Scale when Brain Processing Information [C].Proceedings of the 9th Biennial Meeting of the Chinese Society for Neuroscience. Beijing: Science Press. 2011: 366
[10]  Xie Qin. Details of Quantitative Model of Brain Information Processing [J].World Health Digest, 2011, 8(48): 78-80 
      Official Publish Date: December, 2011
[11]  Xie Qin. Details of Quantitative Model of Brain Information Processing II [J].World Health Digest, 2012, 9(4):101-102 
       Official Publish Date: January, 2012
[12]  Xie Qin. Details of Quantitative Model of Brain Information Processing III [J].World Health Digest, 2012, 9(16):61-62  
      Official Publish Date: April, 2012
[13]  Xie Qin. Details of Quantitative Model of Brain Information Processing IV [J].World Health Digest, 2012, 9(23):193-194 
      Official Publish Date: June, 2012
[14]  Xie Qin. Details of Quantitative Model of Brain Information Processing V [J].World Health Digest, 2012, 9(20):56-57  
     Official Publish Date: May, 2012
[15]  Xie Qin. Details of Quantitative Model of Brain Information Processing VI [J].World Health Digest, 2012, 9(29):238-239 
     Official Publish Date: July, 2012
[16]  Xie Qin. Details of Quantitative Model of Brain Information Processing VII [J].World Health Digest, 2012, 9(33):45-46 
      Official Publish Date: August, 2012
[17]  Xie Qin. Details of Quantitative Model of Brain Information Processing VIII [J].World Health Digest, 2012, 9(39):393-395 
Official Publish Date: September, 2012
[18]  Xie Qin. Details of Quantitative Model of Brain Information Processing IX [J].World Health Digest, 2012, 9(39):402-403 
 Official Publish Date: September, 2012
[19]  Xie Qin. Details of Quantitative Model of Brain Information Processing X [J].World Health Digest, 2012, 9(39):407-408 
 Official Publish Date: September, 2012
 

NNlearning1
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Keywords: model of process

Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition; origin of intelligence

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