In Computational Neuroanatomy: Principles and Methods, the path-breaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain. Combining the vast, data-rich field of anatomy with the computational power of novel hardware, software, and computer graphics, these pioneering investigators lead the reader from the subcellular details of dendritic branching and firing to system-level assemblies and models.

Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.

AY's Neuroanatomy of C. elegans for Computation provides the neural circuitry database of the nematode Caenorhabditis elegans, both in printed form and in ASCII files on 5.25-inch diskettes (for use on IBM® and compatible personal computers, Macintosh® computers, and higher level machines). Tables of connections among neuron classes, synapses among individual neurons, gap junctions among neurons, worm cells and their embryonic origin, and synthetically derived neuromuscular connections are presented together with the references from which the data were compiled and edited. Sample data files and source codes of FORTRAN and BASIC programs are provided to illustrate the use of mathematical tools for any researcher or student interested in examining a natural neural network and discovering what makes it tick.

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data. The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author’s website. By supplying the data and codes, this book enables researchers to start their statistical analyses immediately. Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.

Since the 1970s the cognitive sciences have offered multidisciplinary ways of understanding the mind and cognition. The MIT Encyclopedia of the Cognitive Sciences (MITECS) is a landmark, comprehensive reference work that represents the methodological and theoretical diversity of this changing field. At the core of the encyclopedia are 471 concise entries, from Acquisition and Adaptationism to Wundt and X-bar Theory. Each article, written by a leading researcher in the field, provides an accessible introduction to an important concept in the cognitive sciences, as well as references or further readings. Six extended essays, which collectively serve as a roadmap to the articles, provide overviews of each of six major areas of cognitive science: Philosophy; Psychology; Neurosciences; Computational Intelligence; Linguistics and Language; and Culture, Cognition, and Evolution. For both students and researchers, MITECS will be an indispensable guide to the current state of the cognitive sciences.

This updated second edition provides the state of the art perspective of the theory, practice and application of modern non-invasive imaging methods employed in exploring the structural and functional architecture of the normal and diseased human brain. Like the successful first edition, it is written by members of the Functional Imaging Laboratory - the Wellcome Trust funded London lab that has contributed much to the development of brain imaging methods and their application in the last decade. This book should excite and intrigue anyone interested in the new facts about the brain gained from neuroimaging and also those who wish to participate in this area of brain science.* Represents an almost entirely new book from 1st edition, covering the rapid advances in methods and in understanding of how human brains are organized* Reviews major advances in cognition, perception, emotion and action* Introduces novel experimental designs and analytical techniques made possible with fMRI, including event-related designs and non-linear analysis

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Many studies of the neural bases of language processes are now conducted with functional and structural neuroimaging. Research is often compromised because of difficulties in identifying the core structures in the face of the complex morphology of these regions of the brain. Although there are many books on the cognitive aspects of language and also on neurolinguistics and aphasiology, Neuroanatomy of Language Regions of the Human Brain is the first anatomical atlas that focuses on the core regions of the cerebral cortex involved in language processing. This atlas is a richly illustrated guide for scientists interested in the gross morphology of the sulci and gyri of the core language regions, in the cytoarchitecture of the relevant cortical areas, and in the connectivity of these areas. Data from diffusion MRI and resting-state connectivity are integrated iwth critical experimental anatomical data about homologous areas in the macaque monkey to provide the latest information on the connectivity of the language-relevant cortical areas of the brain. Although the anatomical connectivity data from studies on the macaque monkey provide the most detailed information, they are often neglected because of difficulties in interpreting the terminology used and in making the monkey-to-human comparison. This atlas helps investigators interpret this important source of information. Neuroanatomy of Language Regions of the Human Brain will assist investigators of the neural bases of language in increasing the anatomical sophistication of their research adn in evaluating studies of language and the brain. - Abundantly illustrated with photographs, 3-D MRI reconstructions, and sections to represent the morphology of the sulci and gyri in the frontal, temporal, and parietal regions involved in language processing - Photomicrographs showing the cytoarchitecture of cortical areas involved in language processing - Series of coronal, sagittal, and horizontal sections identifying the sulci and gyri to assist language investigators using structural and functional neuroimaging techniques - All images accompanied by brief commentaries to help users navigate the complexities of the anatomy - Integration of data from diffusion MRI and resting-state connectivity with critical experimental anatomical data on the connectivity of homologous areas in the macaque monkey

"If you can't draw it, you don't know it:" that was the rule of the late neuroanatomist William DeMyer, MD. Yet books do not encourage us to draw and redraw neuroanatomy. Neuroanatomy: Draw It to Know It teaches neuroanatomy through step-by-step instruction of how to draw neuroanatomical pathways and structures. Its instructive language is highly engaging. Users draw neuroanatomical structures and pathways in several steps so they are remembered and use mental and physical mnemonics to demonstrate difficult anatomical rotations and directional pathways. Anatomical pictures and radiographic images accompany the diagrams to clarify spatially challenging features; relevant synonyms are listed to avoid inter-text confusion; inconsistencies in the neuroanatomy literature are highlighted to mitigate frustration; and historical and current accounts of neuroanatomical systems are presented for perspective. Many neuroanatomy textbooks are great references, but fail to provide a working knowledge of neuroanatomy, and many neuroanatomy handbooks provide bedside pearls, but are too concise to be fully satisfactory. This instructional workbook teaches a comprehensive, but practical approach to neuroanatomy; it includes references where necessary but steers users toward key clinical features. Most importantly, Neuroanatomy: Draw It to Know It instructs the reader to draw and redraw the anatomy and teaches an active approach to learning.