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This book contains a wide range of information of huge complexity on rat behavior. The book has three objectives. The first objective is to present an introduction of rat behavior. In choosing the rat as the subject species, the book has made the assumption that this species will remain, as it has in the past, the primary subject used the laboratory investigations of behavior. The second objective is to describe the organization and complexity of rat behavior. The major theme emerging from many lines of research on rat behavior is that understanding the rules of behavioral organization will be central in understanding the structural basis of behavior. The third objective is to update, as much as is possible, previous compendiums of rat behavior. Behavioral neuroscience continues to be a diverse field of research in which there remain many competing experimental methods and hypotheses. The behavioral descriptions in this book are closely tied to the laboratory methods from which they were derived, thus allowing investigators to exploit both the behavior and the methods for their own research. The first part of the book includes sections on natural history, sensory systems, motor systems, regulatory systems, development and parental behavior, social behavior, cognitive functions, and models. The second section is comprised by the major tests used by scientists interested in each domain of behavior.

This book looks at the application of engineering science and technology to biological cells and tissues that are electrically conducting and excitable. It describes the theory and a wide range of applications in both electric and magnetic fields. The similarities and differences between bioelectricity and biomagnetism are described in detail from the viewpoint of lead field theory. This book aims to help with the understanding of the properties of existing bioelectric and biomagnetic measurements and stimulation methods, and to aid with the designing of new systems.

Many neurological conditions are caused by damage to neurons and glial cells. For most of these diseases there are at present no effective treatments to minimise the extent of neuronal and glial loss, and no effective way of replacing what has been lost. This picture is rapidly changing. Developments in basic neuroscience have produced various potential therapies that can protect neurons and glia following traumatic, anoxic, infectious, and immunological damage. The old doctrine that axons cannot be made to regenerate, and dead neurons cannot be replaced, is no longer tenable, and a wide variety of reconstructive techniques for the nervous system are under development. These and other basic science discoveries will progress into clinical practice, and lead to a revolution in neurology and neurosurgery. This book describes the various conditions that lead to damage to the nervous system, and the ways in which they may be ameliorated. It covers the burgeoning science of reconstruction of the nervous system, through neuronal, glial, and stem-cell transplantation, axon regeneration, remyelination, plasticity, and pharmacological interventions. The clinical conditions to which these treatments will be applied and their assessments are described.

We know as architects that the ability to measure human response to environmental stimuli still requires more years of work. Neuroscience is beginning to provide us with an understanding of how the brain controls all of our bodily activities, and ultimately affects how we think, move, perceive, learn, and remember. In an address to the American Institute of Architects convention in 2003, “Rusty” Gage made the following observations that set the core premise for this book: (1) The brain controls our behavior; (2) Genes control the blueprints for the design and structure of the brain; (3) The environment can modulate the function of genes, and ultimately, the structure of the brain; (4) Changes in the environment change the brain; (5) Consequently, changes in the environment change our behavior; and (6) Therefore, architectural design can change our brain and our behavior.

Cognitive electrophysiology concerns the study of the brain’s electrical and magnetic responses to both external and internal events. These can be measured using electroencephalograms (EEGs) or magnetoencephalograms (MEGs). With the advent of functional magnetic resonance imaging, another method of tracking brain signals, the tools and techniques of EEG and MEG data acquisition and analysis have been developing at a similarly rapid pace, and this book offers an overview of key recent advances in cognitive electrophysiology. The chapters highlight the increasing overlap in EEG and MEG analytic techniques, describing several methods applicable to both; discuss recent developments, including reverse correlation methods in visual-evoked potentials and a new approach to topographic mapping in high-density electrode montage; and relate the latest thinking on design aspects of EEG/MEG studies, discussing how to optimize the signal-to-noise ratio as well as statistical developments for maximizing power and accuracy in data analysis using repeated-measure ANOVAS.

In the last fifteen years, a recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged. This emergence has sprung from a variety of factors. For one, inexpensive computer hardware and software is now available and can support the complex high-speed analyses of brain activity that is essential is BCI. Another factor is the greater understanding of the central nervous system, including the abundance of new information on the nature and functional correlates of brain signals and improved methods for recording these signals in both the short-term and long-term. And the third, and perhaps most significant factor, is the new recognition of the needs and abilities of people disabled by disorders such as cerebral palsy, spinal cord injury, stroke, amyotrophic lateral sclerosis (ALS), multiple sclerosis, and muscular dystrophies. The severely disabled are now able to live for many years and even those with severely limited voluntary muscle control can now be given the most basic means of communication and control because of the recent advances in the technology, research, and applications of BCI.

The study of patients affected by disorders of the central nervous system is one of the crucial research methods for investigating the organization of cognitive functions in the brain. However, many clinicians remain unaware of the significant advances that have taken place in the field of cognitive neuroscience in the last decades. This book provides an introduction to the cognitive and behavioural aspects of the clinical practice of neurology. Most of the contributors combine an active clinical practice with a leading role in their respective research area, and have provided concise summaries of the theoretical advances that they consider to be potentially relevant for the clinical evaluation and treatment of patients. This general approach has led to a format which is different from the many textbooks of neuropsychology that have appeared in the last few years. The organization of the material follows the main issues of diagnostic evaluation, clinical presentation, and management. As a consequence, the book deals not only with the classical neuropsychological syndromes associated with stroke and degenerative dementias, but also with other common clinical conditions, such as multiple sclerosis, head injury, epilepsy, and psychiatric disorders, which are often neglected in neuropsychology textbooks.

This book offers an introduction to current methods in computational modeling in neuroscience, and describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A “how to” book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. The book is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but will also be useful for scientists with theoretical backgrounds who want to start using data-driven modeling methods. The mathematics needed are kept to an introductory level; the first chapter explains the mathematical methods the reader needs to master to understand the rest of the book. The chapters are written by scientists who have successfully integrated data-driven modeling with experimental work, so all of the material is accessible to experimentalists and offers comprehensive coverage with little overlap, and extensive cross-references moving from basic building blocks to more complex applications.

Despite extensive physiological, biochemical, and structural studies, the mechanisms of muscle contraction operating in living muscle fibres are still not clearly understood. This book aims to describe and assess various experimental methods currently used in the field of muscle research. For each method discussed, there is a comprehensive description of its advantages, problems, and limitations. Each chapter also contains a summary of the central results that have been obtained using each method.

This book explains and defends the scientific hypothesis. Explanation is needed to counteract the misinformation and misunderstanding about the hypothesis that even scientists have concerning its nature and place in the tapestry of modern science. A survey revealed that most biological scientists receive little or no formal training in scientific thinking. Defense is needed because the hypothesis is under attack by critics who claim it is irrelevant to science. Defense is important, too, because the hypothesis is perhaps the major element in scientific thinking, and familiarity with it is necessary for an understanding of modern science and scientific thinking. The public needs to understand the hypothesis in order to appreciate and evaluate scientific controversies (e.g., global climate change, vaccine safety, etc.). The first chapters thoroughly describe and analyze in elementary terms the scientific hypothesis and examine various kinds of science. Following chapters that review the hypothesis in the context of the Reproducibility Crisis and present survey data, two chapters assess cognitive matters that affect the hypothesis. In a series of chapters, the book makes practical and policy recommendations for teaching and learning about the hypothesis. The final chapter considers two possible futures for the hypothesis in science as the Big Data revolution looms: in one scenario, the hypothesis is displaced by the Big Data Mindset that forgoes understanding in favor of correlation and prediction. In the other, robotic science incorporates the hypothesis into mechanized laboratories guided by artificial intelligence. An epilogue envisions a third way—the Centaur Scientist, a symbiotic relationship of human scientists and computers.

This text is the second edition of this book. It expands the widely acclaimed 1981 book, filling more gaps between EEG and the physical sciences. EEG opens a “window on the mind” by finding new connections between psychology and physiology. Topics include synaptic sources, electrode placement, choice of reference, volume conduction, power and coherence, projection of scalp potentials to dura surface, dynamic signatures of conscious experience, and neural networks immersed in global fields of synaptic action.

Science is growing at a vertiginous pace. This is no less true of neuroscience than any other discipline. It is no longer possible for anyone either to keep up with relevant literature or fully understand its implications. Ambiguity about what is known, what is uncertain and what has been disproven is especially problematic for research planning. Therefore, there is an urgent need to develop strategies and tools to address this growing problem. Engineering the Next Revolution in Neuroscience describes a framework and a set of principles for organizing and simplifying the published record that can be used not only to understand the implications of published data, but also to inform research decisions. The authors use studies of learning and memory to illustrate how the framework and principles introduced were derived from implicit and explicit research practices in neuroscience. The authors then describe how these principles and framework can be used to generate maps of experimental research. This book shows how, armed with these research maps, scientists can determine more efficiently what their fields have accomplished, and where the unexplored territories still reside. The authors argue that the technology to automate the generation of these maps is at hand and that these maps will have a transformative, revolutionary impact on science.

This book studies the organization of the white matter pathways of the brain. The book analyzes and synthesizes the corticocortical and corticosubcortical connections of the major areas of the cerebral cortex in the rhesus monkey. The result is a detailed understanding of the constituents of the cerebral white matter and the organization of the fiber tracts. The findings from the thirty-six cases studied are presented on a single template brain, facilitating comparison of the locations of the different fiber pathways. The summary diagrams provide a comprehensive atlas of the cerebral white matter. The text is enriched by close attention to functional aspects of anatomical observations. The clinical relevance of the pathways is addressed throughout the text and a chapter is devoted to human white matter diseases. The introductory account gives a detailed historical background. Translations of seminal original observations by early investigators are presented, and when these are considered in the light of the authors' new observations, many longstanding conflicts and debates are resolved.

In the 50 years since magnetoencephalography (MEG) was invented, various clinical and research applications of it have been attempted with considerable success. This is most notable in the area of epilepsy and presurgical functioning mapping. However, the best ways to apply MEG and interpret the findings still remain conjectural. As such, this book assesses the new clinical and research applications of MEG, especially for markers of neuropsychiatric and other disorders. It also evaluates the new instruments and analytical procedures that have been recently developed. Ultimately, the book may serve as a standard of clinical practice and as a source of ideas for expanding the applications of MEG.

This book provides an introduction to functional magnetic resonance imaging (fMRI), the scanning technique that allows the mapping of active processes within the brain. There are six sections to the book, with chapters from an international team. Part I provides a broad overview of the field and sets the context. Part II describes the physiological and physical background to fMRI, including coverage of the hardware required and pulse-sequence selection. Practical issues involving experimental design of the paradigms, psycho-physical stimulus delivery, and subject response are covered in Part III, followed by a comprehensive treatment of data analysis in Part IV. Part V deals with practical applications of the technique in the field of neuroscience and in clinical practice. The final section describes how fMRI can be integrated with other neuro-electromagnetic functional mapping techniques.

How to build a brain provides a detailed, guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena. The Semantic Pointer Architecture (SPA) introduced in this book provides a set of tools for constructing a wide range of perceptual, cognitive, and motor models at the level of individual spiking neurons. Many examples of such models are provided, and they are shown to explain a wide range of data including single cell recordings, neural population activity, reaction times, error rates, choice behavior, and fMRI signals. Each of these models is introduced to explain a major feature of biological cognition addressed in the book, including semantics, syntax, control, learning, and memory. These models are not introduced as independent considerations of brain function, but instead integrated to give rise to what is currently the world’s largest functional brain model. The last half of this book compares the Semantic Pointer Architecture with the current state-of-the-art, addressing issues of theory construction in the behavioral sciences, semantic compositionality, and scalability, among other considerations. Along the way, the book considers neural coding, concept representation, neural dynamics, working memory, neuroanatomy, reinforcement learning, and spike-timing dependent plasticity. The book includes detailed, hands-on tutorials exploiting the free Nengo neural simulation environment, providing practical experience with the concepts and models presented throughout.

This book provides an atlas of the normal human brain based on three dimensional reconstructions of magnetic resonance scans obtained in normal living adults as well as neurological patients with focal brain lesions. It provides detailed descriptions of sulci and gyri and illustrates how they appear in different brains. The book shows how different slice orientations obtained in the same brain produce different images that can be anatomically misinterpreted, in normal brains as well as brains with lesions. The book also addresses quantitative differences between the human brain and the brains of apes; gray and white matter differences between the hemispheres; and differences related to gender, age, and congenital deafness.

The field of research in 5-hydroxytryptamine has exploded into furious activity over the past decade and nowhere have the implications been more far reaching than in psychiatry. Thanks largely to the introduction of radioligand-binding techniques, a bewildering variety of 5-hydroxytryptamine receptors has been revealed, and powerful new families of centrally active drugs have emerged. The importance of these new discoveries for psychiatric practice can hardly be exaggerated. To mention but one example, our understanding, and with it the treatment, of obsessive-compulsive disorder has been transformed in a very few years. The excitement continues, and almost daily, some important new insight, usually drug led, alters our whole perception of psychiatric illness. Due to this activity, the CINP chose 5-hydroxytryptamine and psychiatry as the topic for its first President's Workshop. The CINP is an international neuropharmacological organization renowned for its massive, comprehensive, and prestigious biennial congress. It recently decided to complement these with a different type of gathering, a small brain-storming meeting, dominated by a free-flowing discussion. The record of this first President's Workshop is recorded here.

Since the 1980s, MRI scanners have told us much about brain function and played an important role in the clinical diagnosis of a number of conditions — both in the brain and the rest of the body. Their routine use has made the diagnosis of brain tumours and brain damage both quicker and more accurate. However, some neuroscientific advances, in particular those that relate specifically to the mind have provoked excitement and discussion in a number of disciplines. One of the most thought provoking developments in recent neuroscience has been the progress made with ‘mind-reading’. There seems nothing more private than one's thoughts, some of which we might choose to share with others, and some not. Yet, until now, little has been published on the particular issue of privacy in relation to ‘brain’ or ‘mind’ reading. This book presents an interdisciplinary account of the neuroscientific evidence on ‘mind reading’, as well as a thorough analysis of both legal and moral accounts of privacy. The book considers such issues as the use of imaging to detect awareness in those considered to be in a vegetative state. It looks at issues of mental imaging and national security, the neurobiology of violence, and issues regarding diminished responsibility in criminals, and thus reduced punishment. It also considers how the use of neuroimaging can and should be regulated.