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2008-04-10

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作者: Paul W. Glimcher

副标题: The Science of Neuroeconomics
页数: 395
定价: 24USD
出版社: The MIT Press
装帧: paperback
出版年: 2003-1

简介 ······

  From Scientific American
  The notion that the brain and central nervous system are made of circuits that process stimuli and evoke bodily responses is a founding principle of neuroscience. And we humans believe that once we understand every neural pathway, we will be able to predict a motor response to every sensory input—from feeling the tug of a fish on a hook to catching your spouse in bed with someone else. All we have to do is build the right deterministic model of the brain. In Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics, Paul W. Glimcher, an associate professor of neural science and psychology at New York University, recounts how the history of neuroscience has brought humankind to this reflex-based model—and then explains why it is insufficient. Simple behaviors might arise from stimulus-response rules, he allows, but complex behaviors are far less predictable. For example, the brain can weigh value and risk, even with incomplete or uncertain information. But how? Fortunately, Glimcher points out, there is already a science to answer that question: economics, particularly game theory. Other scientists have tapped economic theory to explain the natural world. In the 1960s certain ecologists used the discipline to model how animals forage for food and choose a mate. Glimcher makes a case that "neuroeconomics" can complete our understanding of our brains. He cites his own experiments on humans and monkeys to show how economic principles can accurately represent intricate thought processes, in situations rife with competing values and interests. As the book proceeds, the going can get tough, but the historical insight is worth the trip. Readers may feel a bit unsatisfied when Glimcher notes that a unified theory of neuroeconomics has yet to be written and then admits that he doesn’t know what this theory would look like. Yet he rises to the occasion by suggesting how scientists could begin to apply neuroeconomics to define the optimal course of action that a person might select and by providing a mathematical route for deriving that solution. In this way, Glimcher says, scientists can devise a better understanding of how the brain makes complex decisions in an uncertain world.
  Dennis Watkins --This text refers to the Paperback edition.
  Review
  "Decisions, Uncertainty, and the Brain is a worthwhile book."
  -- William H. Redmond, Journal of Economic Issues
  "The book is an absorbing introduction to the emerging field of neuroeconomics."
  -- Kenneth Silber, Tech Central Station
  "The book presents an extraordinary, thought-provoking, challenging, and immensely charming account of present and future neuroscience."
  -- Wolfram Schultz, Science
  "This book will surely ignite discussion and soul searching among serious neuroscientists..."
  -- P. Read Montague, Nature
  "Glimcher has achieved an extraordinary synthesis of perspectives that have remained isolated for far too long. He views the brain as a system designed to maximize neither pleasure nor social or economic success, but biological fitness instead. He goes on to show why this matters in fields as disparate as psychology, economics, and his own field of neurobiology. This is an impressive and highly readable journey through vast areas of scientific and philosophical knowledge."
  --Alex Kacelnik, Professor of Behavioural Ecology, Oxford University
  "Glimcher's seminal book is a must-read in the emerging field of neuroeconomics. His analysis of the biological foundations of economic behavior makes for exciting reading for economists and neuroscientists alike, who will be fascinated by his insightful research connecting neuronal firing and economic decision making."
  --Kevin A. McCabe, Professor of Economics and Law, and Director of the Neuroeconomics Laboratory at the Interdisciplinary Center for Economic Science, George Mason University
  "Glimcher does extraordinary neuroscience and relates it to the most fundamental of all questions: how the brain makes decisions. His use of game theory to characterize decision making in both humans and monkeys under conditions of strategic conflict is unique. What could be more important than studying the neurobiological basis of volitional choice in earnest? The implications and applications of his work are singular."
  --Michael S. Gazzaniga, Center for Cognitive Neuroscience, Dartmouth College
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2008-4-10 08:41:00
(zz)整理书架07游荡在神经元之间
  李华芳
  
  
  
  在整李书架06中我提到目前神经元研究的两个不同方向:第一是借助技术探究脑和神经系统功能的细胞机制和分子机制研究;第二是系统、行为和认知水平上对脑功能和神经系统功能的整合研究。在葛礼谦的Decisions, Uncertainty, and the Brain中前半部分主要是在阐释第一个方向。葛礼谦主要是回顾谢灵顿(Charles S. Sherrington)之前的思想,但对科学思潮着墨过多,有点分散主题的意思。葛礼谦的主要贡献是将谢灵顿之后的讨论,仅仅围绕谢灵顿的反射模式展开,重点阐释谢灵顿模式的局限性,而后从超越反射模式、反射模式外的其他选择和演化的角度对谢灵顿模式的局限进行反思,以此切入神经经济学的研究。总体而言,除了在科学思想史的论述上稍显冗长之外,这一路径已经成为神经经济学思想路径最基本的表述了。
  
  
  
  不过在此之前,另外一个有意思的研究是在第一个神经元研究的方向上,神经系统功能的细胞机制和分子机制研究。拉蒙-卡哈尔在高尔基的基础上指出,每一个神经元都有一层膜与外界隔离,因此神经元之间并不是相互连通的,而是分离的。那么神经元之间如何传递信号呢?这就成为了一个重要并且需要解答的问题。大致而言,每一个神经元由胞体、树突、轴突和轴突末梢组成。神经元通过树突接受信息,然后经过胞体处理,传到轴突及末梢,然后轴突传递信息给下一个神经元。这是基本的神经元之间的传输信号的方式。
  
  
  
  那么轴突到底又是如何传输信号的呢?在讨论这一问题之前,让我们先熟悉一下谢灵顿的理论。可以说正是谢灵顿的研究,启发了后来的轴突如何传输信号的相关研究。谢灵顿主要是通过对脊髓神经在反射中的作用的研究,发现脊髓的感觉神经(负责感觉输入)和脊髓的运动神经(负责运动输出)的分布及功能都不一样。不管是感觉输入还是运动输出,其都是一种交互神经支配的协作方式,这种协作方式意味着在神经传输信号过程中,抑制和兴奋的状态是同时存在的。谢灵顿认为这些抑制和兴奋状态会相互竞争,并且在突触处以代数和的方式争夺最后公路(final common path)——脊髓运动神经元。也就是说,如果抑制方面的因素全部加起来小于兴奋方面的因素之和,那么脊髓运动神经元就被激活。反之,则不会有反应。
  
  
  
  谢灵顿的发现表明了这样一个道理,当一个脊髓运动神经元接受兴奋足够多的时候,它就产生神经冲动并传到肌肉,形成运动。当然这只是反射运动,人类的运动要复杂很多,但不可否认,反射运动是一个很基础的运动。不过谢灵顿也指出,同一个刺激在不同神经元或同一神经元在不同条件下,不仅可能产生兴奋,也可能会产生抑制,这样神经冲动就会完全不同,兴奋和抑制相互抵消,最后胜出的如果是兴奋,那么就会输出运动;如果是抑制,那么就不会输出运动。
  
  
  
  正是在谢灵顿关于“兴奋-抑制”争夺“最后公路”的想法上,阿德里安(Edgar D. Adrian)进一步研究了刺激强度与神经冲动的关系。发现刺激超过一定阈值后,刺激强度再增加,引发神经冲动的动作电位并不会再发生变化。也就是说,刺激对动作电位只有触发(超过阈值)和没有触发(低于阈值)两种,这也是著名的阿德里安“有或无”定律。这一定律在计算机科学上有广泛应用,例如0与1的编码方式。阿德里安在“有或无”的基础上,进一步发现了虽然刺激强度对单根神经纤维的动作单位只有触发或不触发,但是刺激强度的增强会使得总体神经冲动的频率增加。
  
  
  
  沿着神经元的电学特征这一思路,美国的神经生物学家厄兰格(Joseph Erlanger)和加瑟(Herbert Gasser)研究了动作电位在不同神经纤维上的传播速度,并以传播速度快慢将神经纤维分成ABC三类,发觉痛觉由较细较慢的神经纤维传导,而触觉和运动信息则由较粗较快的神经纤维传导。这一思想与物理学上的汤普森电导率公式如出一辙,横截面粗的电阻小导电快。
  
  
  
  1963年的诺贝尔生理学及医学奖授予英国神经生理学家霍奇金(Alan L. Hodgkin)、赫胥黎(Andrew F. Huxley)和澳大利亚的埃克尔斯,以表彰他们在神经冲动的产生、传导和信息传递方面的贡献。埃克尔斯的思想比较复杂一点,不单纯是从电学特征的思路走,而霍奇金和赫胥黎的研究表明神经元与神经元之间用膜隔开,而膜的内外有电位差。在静息状态时, K+从膜内流到膜外;而在活动状态时,Na+从膜外流到膜内。神经元就是如此通过动作电位,开放钠钾离子通道,与其他神经元进行信息交换。这一工作后来被内尔(Erwin Neher)和萨克曼(Bert Sakmann)拓展,这两人进一步发展了观察离子通道的膜片箝技术,并证明了离子通道的存在和开闭特征,为神经元的进一步发展做出了贡献。
  
  
  
  Paul W. Glimcher, Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics, MIT Press, 2003. 1, 24USD.
李华芳是上海金融与法律研究院研究员,《思想库报告》主编,【读品】出品人。
  
  http://blog.sina.com.cn/s/blog_49275b4201000d17.html
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2008-4-10 15:51:00
不错,很好,太谢谢拉
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2009-10-6 00:21:33
斑竹,好东西,有点小贵,可不可以便宜点呀!
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2009-10-6 00:28:42
斑竹,好东西,有点小贵,可不可以便宜点呀!
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2009-10-6 00:42:55
终于等了一晚上可以下载了!!!
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