Timer role of blood circulation when brain processing information

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FYI 

FYI 

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Details of Quantitative Model

Details of Quantitative Model of Brain Information Processing VI
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 [10-14] introduced details of the quantitative model. This article introduces more details, including 2 parts. Part 1 introduces some important properties of LTD and explains why these properties are important; Part2 introduces that the mechanism of LTD is useful when organizing respective sub networks for different information processing.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition

NNlearning1
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Details of Quantitative Model

Details of Quantitative Model of Brain Information Processing VII
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 [10-15] introduced details of the quantitative model. This article introduces more details, including 2 parts. Part 1 tells the differences between two concepts: “depress connection” VS “synapse LTD”; Part2 introduces some pictures about timing control function of blood circulation when brain processing information.
Keywords: model of process storing and recalling; timing control; microcirculation; structure risk minimization; CNS; information processing; time cognition

NNlearning1
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Details of Quantitative Model

Details of Quantitative Model of Brain Information Processing VIII
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 [10-16] 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;origin of intelligence

NNlearning1
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Details of Quantitative Model

Details of Quantitative Model of Brain Information Processing IX
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 [10-17] 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 [1-17].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; origin of intelligence

NNlearning1
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Details of Quantitative Model

Details of Quantitative Model of Brain Information Processing X
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 [10-18] 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; origin of intelligence

NNlearn
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Comprehensive Report Of A

Comprehensive Report Of A Quantitative Model Of Brain Information Processing And Its Details

Abstract: Literatures [1-9] 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 [10-20] introduced details of the quantitative model that suggested by literatures [1-9]. 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 [1-20] 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 [1-20] 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 [1-17] ”, 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

fulltext ...

[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 [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 [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
[20] Xie Qin. Details of Quantitative Model of Brain Information Processing XI [J].World Health Digest, 2012,
9(50):112-113  Official Publish Date: December, 2012
 

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fulltext of  <Comprehensive

fulltext of  <Comprehensive Report Of A Quantitative Model Of Brain Information Processing And Its Details> refer to

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Comprehensive Report Of A

Comprehensive Report Of A Quantitative Model Of Brain Information Processing And Its Details

wanfangdata Online Publish Date: August, 2013

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Xie Qin. Comprehensive Report

Xie Qin. Comprehensive Report Of A Quantitative Model Of Brain Information Processing And Its Details [C].Proceedings of the 10th Biennial Meeting of the Chinese Society for Neuroscience. Beijing: Science Press. 2013

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