《脑神经图谱》是对脑神经的解剖与功能的了解是神经病学、神经外科学的基础。由神经放射学家、眼耳鼻喉专家和解剖学教授合著的《脑神经图谱》一书图文并茂、系统详尽的描绘了每对脑神经的起始、走行、相邻结构和功能。

The complexity of the brain and the protean nature of behavior remain the most elusive area of science, but also the most important. van Hemmen and Sejnowski invited 23 experts from the many areas--from evolution to qualia--of systems neuroscience to formulate one problem each. Although each chapter was written independently and can be read separately, together they provide a useful roadmap to the field of systems neuroscience and will serve as a source of inspirations for future explorers of the brain.

内容提要
视觉研究是脑科学或神经科学发展中一个比较系统、成熟的分支，特别是对视觉
大脑皮层的研究方面。本书以较短的篇幅介绍了视觉信息处理脑机制方面的基本理论
和近30年来所取得的进展。全书共分七章，分别介绍了视觉系统基本功能和形态学、
视网膜信息处理机制、外膝体在对视觉信息流的调控和形成平行处理过程中的作用、
视皮层细胞的感受野性质及其功能构筑、既平行又分级串行的视觉信息处理机制，以
及当前视觉信息处理研究的一些重要方面。本书力图通过对视觉信息处理的脑机制的
介绍，使读者能够对蓬勃发展的脑科学或神经科学有一个相当深度的了解。
本书可作为从事神经生物学、生理学、医学、心理学以及相关学科的研究人员，高
等院校的教师，理、工、医科研究生和高年级本科生的专业参考书，对于眼科、神经内科
和外科医生也有重要参考价值。

Studies of mechanisms in the brain that allow complicated things to happen in a coordinated fashion have produced some of the most spectacular discoveries in neuroscience. This book provides eloquent support for the idea that spontaneous neuron activity, far from being mere noise, is actually the source of our cognitive abilities. It takes a fresh look at the co-evolution of structure and function in the mammalian brain, illustrating how self-emerged oscillatory timing is the brains fundamental organiser of neuronal information. The small world-like connectivity of the cerebral cortex allows for global computation on multiple spatial and temporal scales. The perpetual interactions among the multiple network oscillators keep cortical systems in a highly sensitive metastable state and provide energy-efficient synchronising mechanisms via weak links. In a sequence of cycles, Gyorgy Buzsaki guides the reader from the physics of oscillations through neuronal assembly organisation to complex cognitive processing and memory storage. His clear, fluid writing accessible to any reader with some scientific knowledge is supplemented by extensive footnotes and references that make it just as gratifying and instructive a read for the specialist. The coherent view of a single author who has been at the forefront of research in this exciting field, this volume is essential reading for anyone interested in our rapidly evolving understanding of the brain.

A variety of different social, natural and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many elements with few connections. This book presents the experimental evidence of these "Scale-free networks" and provides students and researchers with a corpus of theoretical results and algorithms to analyse and understand these features. The content of this book and the exposition makes it a clear textbook for beginners, and a reference book for the experts.

Book Description
Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis.
Product Description
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis.
* An essential reference and companion for users of the SPM software
* Provides a complete description of the concepts and procedures entailed by the analysis of brain images
* Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data
* Stands as a compendium of all the advances in neuroimaging data analysis over the past decade
* Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes
* Structured treatment of data analysis issues that links different modalities and models
* Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
From the Back Cover
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis.
Key Features:
* An essential reference and companion for users of the SPM software
* Provides a complete description of the concepts and procedures entailed by the analysis of brain images
* Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data
* Stands as a compendium of all the advances in neuroimaging data analysis over the past decade
* Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes
* Structured treatment of data analysis issues that links different modalities and models
* Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

人脑是我们已知世界中最为复杂的一个物体。尽管我们对于脑的认识还远远不够，但是研究组成神经系统的神经元和胶质细胞产生感觉、行为和高级精神活动的方式已经成为科学研究中成果最丰硕的领域。脑的构成是一系列发育阶段的整合体，由最初少量胚胎细胞成为神经前体细胞开始，到接近行为出现为止，这就是本书所涵盖的内容。本书内容广泛，以一些著名的实验和观察为例，全面介绍了神经系统发育的基本原理。书中内容是按照个体发生的顺序排列的，从神经原基的诱导发生，一直到行为的产生。作为大学教材，本书涵盖了所有主要的内容，包括神经系统的生长模式、神经元决定、轴突导向及对象、神经元凋亡、突触形成及可塑性等内容。第二版新增的内容介绍了该领域的最新进展，比如模式生物的研究、分子及遗传技术的应用，以及新的成像技术的引入等等。本书的目的就是为高年级学生和有一些生物学背景的研究者提供一个关于神经发育过程的纲要，这与广泛的文献综述在目的上是完全不同的。本书插图丰富，文字简洁，非常适合第一次接触该领域的学生参考。本书还配有光盘，内容为全书精美彩图。

It is widely recognized that the neural basis of brain function can be fully understood only by integrating many disciplines at many levels. Studies os synaptic organization are bringing about a quiet revolution in achieving this goal, as documented by this unique book over the past 30 years. In this fifth edition, the results of the mouse and human genome projects are incorporated for the first time. Molecular biologists interested in functional genomics and proteomics of the brain will find answers here to the critical questions: what are the cell and circuit functions of gene products? Also for the first time, the reader is oriented to supporting neuroscience databases. Among the new advances covered are 2-photon confocal laser microscopy of dendrites and dendritic spines, biochemical analyses, and dual patch and multielectrode recordings, applied together with an increasing range of behavioural and gene-targeting methods. Leading experts in the best understood brain regions bring together the molecular, anatomical, functional, and behavioural data in authoritative integrated accounts.The chapters are organized in the same format, covering the neural elements, synaptic connections, basic circuits, physiology, neurotransmitters, neuromodulators, membrane properties, dendritic properties, and with a final section on how the circuits mediate specific behaviours. The uniform framework for each chapter enables the authors to higlight the principles that are common to all regions, as well as the adaptations unique to each, thus serving as a model for understanding the neural basis of behaviour.

Burgeoning advancements in brain science are opening up new perspectives on how we acquire knowledge. Indeed, it is now possible to explore consciousness—the very center of human concern—by scientific means. In this illuminating book, Dr. Gerald M. Edelman offers a new theory of knowledge based on striking scientific findings about how the brain works. And he addresses the related compelling question: Does the latest research imply that all knowledge can be reduced to scientific description?
Edelman’s brain-based approach to knowledge has rich implications for our understanding of creativity, of the normal and abnormal functioning of the brain, and of the connections among the different ways we have of knowing. While the gulf between science and the humanities and their respective views of the world has seemed enormous in the past, the author shows that their differences can be dissolved by considering their origins in brain functions. He foresees a day when brain-based devices will be conscious, and he reflects on this and other fascinating ideas about how we come to know the world and ourselves.

神经元（神经细胞）是构成神经系统的基石，对神经元各个方面的深入、彻底的理解对于我们从各个层次对神经系统进行分析都是十分必要的。本书论述神经细胞的形态学、生物化学、生物物理学基础知识，这些知识正迎合了相关专业的大学生、研究生、科研人员的需要。
2000年诺贝尔生理医学奖获得者Eric R.Kandel盛赞此书：“凭着对神经生理学的独到的、富有创见的阐述，这本书填补了一个亟需填补的空白。
行文清晰，尤其是插图经过了精心设计，图示精美。
每一章的编写才均为该令域的权威和学科带头人。
被专家誉为“神经科学家书架上的必备书”。

A fascinating history--. Literate and authoritative--.Marvelously exciting. -- The New York Times Book Review
Jonathan Weiner, winner of the Pulitzer Prize for The Beak of the Finch , brings his brilliant reporting skills to the story of Seymour Benzer, the Brooklyn-born maverick scientist whose study of genetics and experiments with fruit fly genes has helped revolutionize or knowledge of the connections between DNA and behavior both animal and human.
How much of our fate is decided before we are born? Which of our characteristics is inscribed in our DNA? Weiner brings us into Benzer's Fly Rooms at the California Institute of Technology, where Benzer, and his asssociates are in the process of finding answers, often astonishing ones, to these questions. Part biography, part thrilling scientific detective story, Time, Love, Memory forcefully demonstrates how Benzer's studies are changing our world view--and even our lives.

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

认知神经科学中的事件相关电位(ERP)技术使得科学家们能够观察到反映各种认知过程的人类脑活动。在《事件相关电位基础》一书中，Steven LuckX寸认知神经科学领域以及相关领域，包捂晴绪神经科学领域和实验精神病理学领域中的实用ERP实验问题，提供了最可充分理解的指导。本书可用作教学与实验的指南。对于那些虽然自己不进行ERP研究，但却需要理解和评价文献中ERP成分的研究者，本书也可用作参考。这本书总结了ERP理论与实践的积累，由此提供了怎样设计、进行，乃至解释ERP实验的详尽指导。这本书还介绍了所需要的理论背景，用以理解一个实验为什么会以某种方式完成。Luck集中地讨论了全世界很多先进ERP实验室所用的那些最基本的技术，这些技术反映了电生理记录的长期发展历史，并为更先进的方法提供了良好的基础。

一股新的研究浪潮正改变着我们对人类思维和大脑的认识。许多基础教育领域已要求学生对认知神经科学具备基本的理解。不过，目前多数教科书都是为生物学专业的学生准备的，很少考虑心理学和其他相关专业的读者。本书意在填补这一空缺。
专为心理学、医学预科、教育不及神经科学本科生和研究生而写；采用易于理解的主题式写作方式，无需神经科学或生物学背景；章节设置循序渐进，可读性强，以简单漂亮的绘图作品构建大脑，令人印象深刻；每章结尾处附有思考题和绘图练习，帮助加深理解。

《神经元突触传递的细胞和分子生物学》采用了众多彩色图表，不但突出了基本概念的阐述，也对基本研究方法和发展趋势作了介绍，把经典内容和前沿知识进行了有机结合。神经递质释放与跨膜信息的传递及整合是神经细胞最基本的功能特征，对突触传递机制的研究是人类认识复杂神经系统功能的前提，是科学领域近百年来重点探索的核心问题之一，也是神经科学中极其重要的前沿领域。《神经元突触传递的细胞和分子生物学》主编盛祖杭教授目前担任美国国立健康研究院神经突触功能研究室主任、首席研究员，教育部“长江学者奖励计划”讲座教授。在编写《神经元突触传递的细胞和分子生物学》时他大量引用了在美国15年从事神经科学研究、教学的成果和创见，以神经系统的基本功能——突触传递为核心，较系统地、深入浅出地介绍了突触的结构、神经元的细胞骨架系统和物质的合成转运、突触传递及其调节机制等一系列有关神经生物学的核心问题，从细胞和分子水平详细阐述了神经递质释放与跨膜信息传递及整合的过程以及机制，从而揭示大脑复杂的功能活动。
《神经元突触传递的细胞和分子生物学》可作为神经生物学专业教师和有关科研人员的参考读物，也可作为综合性大学生物系和医学院校高年级本科生、研究生阅读参考。

人類之所以成為萬物之靈，大腦可說是居功厥偉，它使人類與動物在智慧上產生差異，然而人腦的大小與智力商數的相關卻只有○‧三，亦即僅百分之九的IQ可以用腦大小來解釋，並非一般人想像的重要。大腦究竟與聰明才智有何關係？而它又是如何演化來的？
作者歐門博士專事大腦演化研究逾三十年，本書結合目前所知最複雜的組織系統--大腦，以及最具高度智慧挑戰的知識--演化，連同遺傳發展法則、地質歷史、動物生態、解剖和生理學等學科進行多面性的探究，從靈長目在視覺方面的成就，探查視網膜上的視覺影像是如何在牠們的腦中轉換成神經訊號。此外，當面對可能威脅生存的有害環境變遷時，大腦正是可使生物免受衝擊的緩衝物之一。歐門博士透過分析生物體結構的變異過程來了解大腦演化，可說是了解生命本質的關鍵所在。

《神经科学与技术的统计信号处理(导读版)》全面概述了统计信号处理、信息论、机器学习的基本原则、理论和方法，以及它们在神经科学中的应用。作为本领域独一无二的参考书，《神经科学与技术的统计信号处理(导读版)》总结了神经科学中用于解决新兴问题的信号处理、机器学习理论和技术的最新发展，并且特别强调了神经技术的基础和临床应用。《神经科学与技术的统计信号处理(导读版)》是神经工程、神经假体、脑-机接口、计算和系统神经科学、神经信息学、神经生理学等领域的工程研究人员和研究生的理想参考书。

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。