《神经科学中的数学（导读版）》通过Matlab编程语言在众多模拟中的应用来介绍计算方法。这些程序为新的课程和研究提供有益的跳板。作者从介绍微分方程和线性代数在细胞、亚细胞和突起模型的应用开始，然后介绍概率论在突触传递和单细胞噪声中的应用，最后将信号处理理论应用于系统神经科学中。
神经科学依赖众多数学工具表达已有的理论、分析数据并提出新的实验。本书采用一系列扎实的计算模型将该领域最令人瞩目的工具由浅入深地介绍给读者。旨在为神经科学专业的本科生和研究生，以及对神经科学感兴趣的数学、物理和工程背景的学生提供一本教科书，亦可为进行神经科学相关研究的工作者提供有用的参考。

神经美学是一个新兴的研究领域，旨在从神经科学的角度了解艺术与美，研究人类审美的神经基础和进化原理。《审判的脑：从演化角度阐释人类对美与艺术的追求》作者安简·查特吉是神经美学领域的专家之一，富有创见。本书通过神经科学和进化心理学的双重视角，关注美、快乐和艺术三个令人感兴趣的主题。作者引导读者穿越广泛的话题，从面孔、身体和景观的视觉感受，到人类如何享受食物、性和金钱，以及古代艺术和现代艺术的比较和分析。本书是对神经美学这一前沿领域的好介绍，它不仅从认知神经科学的视角描述人类的审美是如何进行的，同时也透过进化心理学的视角解释了人类为什么会有审美心理机制。多重理论视角和证据的综合，奇妙地呈现出了我们这个时代对审美现象的科学理解。

Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn't been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments.
This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes".
Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.
The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other "plumbing" minutiae as would be required in other, more low-level programming languages such as C or C++.
Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as "flops" won't work in current versions of Matlab, necessitating a book that is timely and up-to-date.
The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project.
The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago. Two co-authors (PW and NH) have presented their respective work on teaching Matlab at national meetings and two of the co-authors (PW and MB) were awarded the coveted University of Chicago's Booth Prize for excellence in teaching these courses. (http://chronicle.uchicago.edu/070524/boothprize.shtml ).
* The first comprehensive textbook on Matlab with a focus for its application in Neuroscience
* Problem based educational approach with many examples from neuroscience and cognitive psychology using real data
* Authors are award winning educators with strong teaching experience
* Instructor's Website with figurebank, additional problems and examples, solutions, etc

When does history begin? What characterizes it? This brilliant and beautifully written book dissolves the logic of a beginning based on writing, civilization, or historical consciousness and offers a model for a history that escapes the continuing grip of the Judeo-Christian time frame. Daniel Lord Smail argues that in the wake of the "Decade of the Brain" and the best-selling historical work of scientists like Jared Diamond, the time has come for fundamentally new ways of thinking about our past. He shows how recent work in evolution and paleohistory makes it possible to join the deep past with the recent past and abandon, once and for all, the idea of prehistory. Making an enormous literature accessible to the general reader, he lays out a bold new case for bringing neuroscience and neurobiology into the realm of history.

《神经内科病例分析:入门与提高》主要内容：神经内科病病例讨论，神经内科病病例相关综述汇集，知名专家的高水准点评构成《神经内科病例分析:入门与提高》的内容主体。
《神经内科病例分析:入门与提高》由全国知名医院的青年优秀医生主笔，全国权威的医学专家主审和点评。病案讨论与学科最新进展相结合、优秀青年医生的大量文献阅读成果与权威专家多年的临床实际经验相结合、常见病的少见表现与少见病的常见表现相结合、严谨的学术氛围与活泼的图文并茂的可读性相结合。 全书将全面吸收国外同类书籍的特色，力争创造出具有全新气息的病例讨论书籍。

《生物心理学(第10版)(通用教材版)》是研究行为生物基础的一门科学，它试图从生物学和进化学的角度对感知觉、认知和行为进行解释。
《生物心理学(第10版)(通用教材版)》取材广泛，综合了比较心理学、生理心理学、心理药物学、神经心理学以及认知神经科学等诸多学科的最新研究成果，详细探讨了大脑与神经系统的解剖、感知觉加工、运动控制、动机情绪、精神障碍、学习与记忆、语言和认知等方面的理论及观点，着重解释了行为及心理现象背后的神经过程和神经机制。
詹姆斯•卡拉特擅长用浅显有趣的文字讲解科学道理，该书被誉为本领域教材中的“首选”，詹姆斯•卡拉特也因此被称为生物心理学领域内的“戴维•迈尔斯。
《生物心理学(第10版)(通用教材版)》适合心理学、生物学、认知神经科学等学科的广大师生和研究者使用。

In From Molecule to Metaphor, Jerome Feldman proposes a theory of language and thought that treats language not as an abstract symbol system but as a human biological ability that can be studied as a function of the brain, as vision and motor control are studied. This theory, he writes, is a "bridging theory" that works from extensive knowledge at two ends of a causal chain to explicate the links between. Although the cognitive sciences are revealing much about how our brains produce language and thought, we do not yet know exactly how words are understood or have any methodology for finding out. Feldman develops his theory in computer simulations--formal models that suggest ways that language and thought may be realized in the brain. Combining key findings and theories from biology, computer science, linguistics, and psychology, Feldman synthesizes a theory by exhibiting programs that demonstrate the required behavior while remaining consistent with the findings from all disciplines. <br /> <br /> After presenting the essential results on language, learning, neural computation, the biology of neurons and neural circuits, and the mind/brain, Feldman introduces specific demonstrations and formal models of such topics as how children learn their first words, words for abstract and metaphorical concepts, understanding stories, and grammar (including "hot-button" issues surrounding the innateness of human grammar). With this accessible, comprehensive book Feldman offers readers who want to understand how our brains create thought and language a theory of language that is intuitively plausible and also consistent with existing scientific data at all levels.

无论是叫生理心理学、生物心理学还是行为神经科学，乍听起来这一学科的确艰深晦涩、远离生活。然而翻开本书，你将惊喜地发现，这样一门硬科学竟然与生活如此贴近；虽然它包含的信息量巨大，但绝不晦涩难懂，反而好读好玩，叫人不忍释卷。合上本书，竟叫人不由地惊叹：“这才是心理学啊！”
权威经典　它是经典的生理心理学教材之一，已出版第九版（英文版），为国内外众多高校采用，深受师生好评。
专业精湛　翻译团队由国内生理心理学领域的知名专家组成，他们分别在北京大学、中科院心理所等高校和科研单位长期从事该领域的教学和研究工作。
内容新颖　本书整合了生理心理学近年来的最新研究成果，系统介绍了生理心理学的感知觉系统、睡眠、情绪及心理障碍等各个方面的知识，同时设有大量丰富的图表和实例，使生理心理学和生活紧密联系、通俗易懂。
人脑是一个复杂而精妙的器官，而神经科学是一个充满生机、硕果累累的研究领域。本书第九版整合了近年来神经科学和生理心理学丰富多样的研究成果，系统介绍了神经细胞、神经系统、精神药理学、感知觉、睡眠、生殖行为、情绪、摄食行为、学习与记忆、语言、神经疾病以及精神障碍等方面的前沿知识。相对于其他生理心理学教材而言，本书介绍了更多的人类个案研究，并辅以丰富的图表，内容深入浅出、精彩纷呈。读者在跟着本书学习与思考的过程中，将在潜移默化中把神经科学领域的抽象概念和理论在日常生活中融会贯通。

[内容简介]
●“DNA决定我们是不是人，镜像神经元决定我们能否塑造文明。”镜像神经元堪称20年来心理学界最重要的发现，然而小小的镜像神经元，真的能够解开人类进化史上的重大谜团吗？镜像神经元理论提供了一种精练而简单的新方式，来解释语言的进化、人类共情的发展以及自闭症的神经基础，乃至精神分裂、药物滥用、性取向、传染性哈欠等，其作用可谓无所不包。
●在《神秘的镜像神经元》中，神经科学家格雷戈里•希科克回顾了镜像神经元理论从萌芽到流行的全过程，对其进行了大胆质疑，并提出了自己的新解释。这些理论探讨阐明了有关人类认知及大脑功能的关键问题：为什么人类如此频繁而大量地进行模仿？要理解言语，我们必须具备说话的能力吗？自闭症到底是哪里出了问题？人类能够进行心智解读吗？
●从发现问题到创建理论再到修订理论，《神秘的镜像神经元》展现了科学在曲折中前行的发展进程，并就人类大脑的组织和功能、沟通及认知的本质进行了深入的阐述。
[编辑推荐]
●《科学家》杂志推荐书目，首次全面、深入揭秘现代心理学与神经科学中最具深远影响的发现；
●“DNA决定我们是不是人，镜像神经元决定我们能否塑造文明。”全方位解读镜像神经元理论，在大脑深处探寻语言、模仿、学习、沟通、共情、自闭症的源头。
●著名认知心理学家史蒂芬•平克、盖瑞•马库斯，南京师范大学心理学院教授袁逖飞、知乎大V赵思家、加州大学圣迭戈分校哲学荣誉退休教授帕特里夏•丘奇兰德联袂推荐，《出版人周刊》《科克斯书评》热评；
●《纽约时报》盛赞：“今天对神话多一克警惕，明天在神经科学中就会少一磅谬论。”
●湛庐文化出品。

还没有人能像E. Bruce Goldstein博士这样，将认知心理学的研究与现实生活联系得如此紧密。本书从认知心理学和脑科学基础知识入手，详细介绍了知觉、注意、记忆、知识、表象、语言、问题解决以及逻辑和决策过程等领域的认知心理学研究，将各种经典实验范式和最前沿的研究成果结合在一起，全面呈现了认知心理学这一充满魅力的学科。
本书尤其强调将所学与现实生活及切身体验联系起来，精心设计了诸多环节：
● 以日常生活中的实例开启各章的论述。
● 40多个简单易行的“演示实验”，让读者在亲身体验中学习。
● 27个“研究方法”专栏，强调认知心理学研究采用的精巧方法。
● 在“思考”部分介绍与各章相关的前沿研究或者存在争议的研究。
● 更有“测一测”与“想一想”的问题，帮助读者回顾并进一步思考所学内容。
● 在“知识扩展”部分介绍更多有趣的研究课题。
书中丰富精彩的实例、插图以及神经心理学案例将大大调动读者的好奇心，让认知研究回归日常生活，让读者从此爱上认知心理学。

这是一个被称为信息大爆炸的时代。为了在这个时代中生活和工作，人们开始边走路边打手机，边开会边收发电子邮件，边看电视新闻边浏览电脑网页，还要在纷乱嘈杂的环境中一心一意地与人对话、完成手头的工作。对此，许多人有力不从心之感。是不是我们所创造的信息文明已经超出了我们生物性大脑的容量？
Torkel Klingberg，一位认知神经科学领域的学术领袖，在这本权威性的著作中，将关于大脑进化的讨论、神经科学的历史、最前沿的科研方法学、信息理论，以及对神经可塑性的最新见解和关于多种神经发育疾病的全面综述，巧妙地结合在一起，用深入浅出、引人入胜的叙述方式，向读者解释了什么是“超负荷的大脑”，并试图回答：我们大脑处理信息的能力为什么是有限的？这对我们的日常生活有什么影响？我们如何通过脑力锻炼拓展这些极限？

●在漫长的进化史中究竟发生了什么，才造就出独一无二的人类？语言、社会、道德、情感、艺术、意识……这些能力是人类独有的吗？
●开创认知神经科学领域的著名思想家加扎尼加被誉为“脑科学界的斯蒂芬•霍金”。在本书中，他集合多个学科领域的研究成果，对人类本质进行了一场细致而深入的解剖，以生动风趣的语言，将人类引以为豪的大脑中的各种功能一一道来，试图找到让我们变得与祖先截然不同，成为会思考、有感情的人类的关键所在。

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

《神经信息学(神经系统的理论和模型)》把半个世纪以来有实验依据的神经系统(脑)中的主要理论和模型集中起来，给研究生们提供理论训练。这些理论和模型中有重要基础理论意义的，大都取材于诺贝尔奖获得者的工作（Hodgkin、Huxley、Hartline、Gabor、Bekesy、Eccles、Crick、Edelmen、Sperry……），也包括对信息科学、工程应用有重大影响的假设、理论和算法（Hebb学习律、平行分布式理论框架……）。
《神经信息学(神经系统的理论和模型)》共分三篇：第一篇包括固定结构的神经系统的理论模型，涵盖神经元模型、感受器的数学描述、节律产生和视觉信息加工等；第二篇是关于学习和记忆的理论模型，包括}tebb学习律、平行分布式理论框架、Hopfield模型以及短时程的突触修正规律，清晰讲述了神经系统的理论研究对人工智能、信息科学工程应用的意义；第三篇介绍神经科学和脑科学中当前的几个热点，包括神经编码、功能柱的结构和功能、脑的非线性和意识问题。
《神经信息学(神经系统的理论和模型)》可作为神经科学、认知科学、心理学等专业的研究生教材，也可作为人工视觉、神经假肢、人工智能、信息科学专业研究人员的参考书。

<b>About the Author</b><p>Born in 1956 in the American Midwest, Christof Koch grew up in Holland, Germany, Canada, and Morocco, where he graduated from the Lycée Descartes in 1974. He studied physics and philosophy at the University of Tübingen in Germany and was awarded his Ph.D. in biophysics in 1982. He is now the Lois and Victor Troendle Professor of Cognitive and Behavioral Biology at the California Institute of Technology. The author of several books, Dr. Koch studies the biophysics of computation, and the neuronal basis of visual perception, attention, and consciousness. Together with Francis Crick, his long-time collaborator, he has pioneered the scientific study of consciousness.</p>

The New York Times best-selling author of Physics of the Impossible , Physics of the Future and Hyperspace tackles the most fascinating and complex object in the known universe: the human brain .

For the first time in history, the secrets of the living brain are being revealed by a battery of high tech brain scans devised by physicists. Now what was once solely the province of science fiction has become a startling reality. Recording memories, telepathy, videotaping our dreams, mind control, avatars, and telekinesis are not only possible; they already exist.

The Future of the Mind gives us an authoritative and compelling look at the astonishing research being done in top laboratories around the world—all based on the latest advancements in neuroscience and physics. One day we might have a "smart pill" that can enhance our cognition; be able to upload our brain to a computer, neuron for neuron; send thoughts and emotions around the world on a "brain-net"; control computers and robots with our mind; push the very limits of immortality; and perhaps even send our consciousness across the universe.

Dr. Kaku takes us on a grand tour of what the future might hold, giving us not only a solid sense of how the brain functions but also how these technologies will change our daily lives. He even presents a radically new way to think about "consciousness" and applies it to provide fresh insight into mental illness, artificial intelligence and alien consciousness.

With Dr. Kaku's deep understanding of modern science and keen eye for future developments, The Future of the Mind is a scientific tour de force--an extraordinary, mind-boggling exploration of the frontiers of neuroscience.

How can an infinite number of sentences be generated from one human mind? How did language evolve in apes? In this book Donald Loritz addresses these and other fundamental and vexing questions about language, cognition, and the human brain. He starts by tracing how evolution and natural adaptation selected certain features of the brain to perform communication functions, then shows how those features developed into designs for human language. The result - what Loritz calls an adaptive grammar - gives a unified explanation of language in the brain and contradicts directly (and controversially) the theory of innateness proposed by, among others, Chomsky and Pinker.

In this new book, neuroscientist Eric R. Kandel, whose remarkable scientific career and deep interest in art give him a unique perspective, demonstrates how science can inform the way we experience a work of art and seek to understand its meaning.