neuro
Principles of Computational Modelling in Neuroscience 豆瓣
作者: Andrew Gillies / Bruce Graham 出版社: Cambridge University Press 2011 - 8
"The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signaling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modeling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience." (Amazon)
"This is a wonderful, clear and compelling text on mathematically-minded computational modelling in neuroscience. It is beautifully aimed at those engaged in capturing quantitatively, and thus simulating, complex neural phenomena at multiple spatial and temporal scales, from intracellular calcium dynamics and stochastic ion channels, through compartmental modelling, all the way to aspects of development. It takes particular care to define the processes, potential outputs and even some pitfalls of modelling; and can be recommended for containing the key lessons and pointers for people seeking to build their own computational models. By eschewing issues of coding and information processing, it largely hews to concrete biological data, and it nicely avoids sacrificing depth for breadth. It is very suitably pitched as a Master's level text, and its two appendices, on mathematical methods and software resources, will rapidly become dog-eared."
Peter Dayan, University College London
神经的逻辑 豆瓣
NeuroLogic: The Brain's Hidden Rationale Behind Our Irrational Behavior
7.5 (12 个评分) 作者: [美]埃利泽·斯滕伯格 译者: 高天羽 出版社: 广西师范大学出版社 2018 - 8
从8个令人惊奇的问题开始,带你理解迷一样的人类行为,以全新的眼光看待我们自身。
跟着作者不断解谜,如侦探小说般神经的逻辑,彻底明白我们日常的心理与行为的机制。
【人类竟是如此神奇】听声辨位、梦中杀人、左右互搏、多重人格、心灵操控……这样小说般的情节都是真的!本书展现了很多人类超乎自己想象的行为。每章都从一个惊奇问题开始,带领读者不断解谜,充满阅读推理作品的快感。
【神经科学一本通】覆盖神经科学的各领域和多种方法,习惯、记忆、梦境、疏忽、幻觉等等日常心理机制都得到了解释,在快乐阅读中了解人脑和人类行为的方方面面,以全新的眼光看待人类自身。
【帮你生活更轻松】经常回到家才想起路上该买的东西没买?是否知道要减肥的话不能一边吃东西一边看电视?怎么抵御商家在不知不觉中对自己的剁手诱惑?还有躺在床上就能健身这种好事?假笑识破率还能提高?……理解了这些心理和行为的机制,就能更有意识地在生活中躲开陷阱,抄到近路!
《神经的逻辑》令人大开眼界,它既轻松有趣,又是极富启发性的研究,也解释了我们为什么会做那些最为奇怪的事。斯滕伯格撬开了我们的心灵,解释了脑的运作方式,对一系列诸如感知、习惯、催眠、语言、学习等话题都给出了真知灼见。就如何面对人类大脑的无意识逻辑这一问题,本书为读者提供了专业性的指导。读罢掩卷,我对“我这个人到底是谁”有了更多的体悟。
——列奥纳德· 莫洛迪诺夫,《大设计》第二作者斯滕伯格对脑的怪行背后隐秘逻辑的解释,是神经科学界一支全新的声音。
——承现峻,《连接组》作者本书每章读起来都像侦探小说,每一页都闪耀着作者对神经病学的热情。它同时还非常适合哲学家和心理学家,正能治疗他们的“神经元嫉妒症”。
——V. S. 拉马钱德兰,《讲故事的脑》作者如果你想知道人们为什么用不理性的方式思考和行动,想为此找出合理回答,那本书就该是你的第一本书。
——迈克尔· 舍默,怀疑论者学会创始人我们解释事情时通常有一些叙事套路,而本书却是对这些叙事套路背后真正的神经回路进行丰富详尽的研究。作者破解、打开了脑中的“黑箱”,检查其中并行的有意识和无意识两套系统,探究从做梦、自动模式行为到记忆、幻觉、创伤等一系列问题。
——《自然》杂志
从最怪异的梦和幻觉,到精神分裂症与多重人格,脑是各式各样怪念怪行的肇事者。从外部看,这些现象常显得“疯狂”,但其实它们都有逻辑可循,这套逻辑使我们能创造经验、保全自我。
无论是哈欠会传染、虚假记忆、不饿却进食、色情片盛行、感同身受等常见的行为、心理状况和情感,还是清醒梦、濒死体验、盲人看到的景色、梦游杀人等惊奇案例,《神经的逻辑》都为我们娓娓道来。以这些现象为契机,斯滕伯格博士深入脑和神经系统的内部,揭示并解读脑与神经中理性的有意识系统和幽深的无意识系统,解释两套系统怎样造就了我们或平常或怪异的行为。弄清楚脑与神经系统的运作模式和逻辑,不仅可以改变我们对心理疾病和超自然体验的看法,也会让我们更加了解自身的隐秘之处,做出更正确的决策。
2018年10月21日 已读
这本科普比较注重故事的讲述,所以容易引人入胜,我猜接下来几年脑科学有关书籍的译介会越来越热门。因为有了fMRI、PET等新技术,科学家已经做了不少年实验了,在现有的实验文献基础上,现代人终于可以对人的一些古怪现象进行脑科学解释,建立脑的模型,而不只是进行思想实验或辩论。本书用意识和无意识两条暗线,分篇讲述脑科学里的热门话题,叙述了部分脑区的功能,由此建立了一个脑的逻辑简易框架(原著和译作其实可以尝试把附录的人脑结构图放在全书的前面)。科普的目的导致本书有较强的还原论倾向以及对单个实验的信服,旧资料也用得比较多。不过总体上还是本不错的介绍脑科学进展的读物,比较适合当报纸专栏文或者公众号文。
Psych akb neuro 埃利泽·斯滕伯格 待定
Neurophilosophy: Toward a Unified Science of the Mind/Brain Goodreads 豆瓣
作者: Patricia Smith Churchland 出版社: MIT Press 1989 - 9 其它标题: Neurophilosophy
Five chapters in the book's first part, "Some Elementary Neuroscience," sketch the history of the science of nervous systems and provide a general introduction to neurophysiology, neuroanatomy, and neuropsychology. In the second part, "Recent Developments in the Philosophy of Science," chapters place the mind-body problem within the wider context of the philosophy of science. Drawing on recent research in this area, a general account of intertheoretic reduction is explained, arguments for a reductionist strategy are developed, and traditional objections from dualists and other anti reductionists are answered in novel ways. The third part, "A Neurophilosophical Perspective," concludes the book with a presentation and discussion of some of the most promising theoretical developments currently under exploration in functional neurobiology and in the connectionist models within artificial intelligence research.Patricia Churchland is Professor of Philosophy, University of California, San Diego. A Bradford Book.
Neuroscience 豆瓣
作者: Mark F. Bear / Barry W. Connors 出版社: Lippincott Williams and Wilkins 2006 - 2
Widely praised for its student-friendly style and exceptional artwork and pedagogy, Neuroscience: Exploring the Brain is a leading undergraduate textbook on the biology of the brain and the systems that underlie behavior. This edition provides increased coverage of taste and smell, circadian rhythms, brain development, and developmental disorders and includes new information on molecular mechanisms and functional brain imaging. Path of Discovery boxes, written by leading researchers, highlight major current discoveries. In addition, readers will be able to assess their knowledge of neuroanatomy with the Illustrated Guide to Human Neuroanatomy, which includes a perforated self-testing workbook. This edition's robust ancillary package includes a bound-in student CD-ROM, an Instructor's Resource CD-ROM, a Connection Website, and LiveAdvise: Neuroscience online student tutoring.