Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.

This single volume brings together both theoretical developments in the field of motor control and their translation into such fields as movement disorders, motor rehabilitation, robotics, prosthetics, brain-machine interface, and skill learning. Motor control has established itself as an area of scientific research characterized by a multi-disciplinary approach. Its goal is to promote cooperation and mutual understanding among researchers addressing different aspects of the complex phenomenon of motor coordination. Topics covered include recent theoretical advances from various fields, the neurophysiology of complex natural movements, the equilibrium-point hypothesis, motor learning of skilled behaviors, the effects of age, brain injury, or systemic disorders such as Parkinson's Disease, and brain-computer interfaces. The chapter 'Encoding Temporal Features of Skilled Movements-What, Whether and How?' is available open access under a CC BY 4.0 license via link.springer.com.

This edition of the companion volumes Muscle Pain: Understanding the Mech- isms and Muscle Pain: Diagnosis and Treatment is essential reading for those interested in clinical approaches to acute and chronic pain conditions involving muscle tissues and in the mechanisms underlying these conditions. The volumes cover a very important topic in pain medicine, since muscle pain is very common and can often be dif?cult to diagnose and treat effectively. Furthermore, chronic pain involving muscle and other components of the musculoskeletal system increases with age, such that it is a common complaint of those of us who are middle-aged or older. Indeed, as changing population demographics in "west- nized" countries result in higher proportions of the population living longer and being middle-aged and elderly, chronic muscle pain will likely become even more of a health problem. In the case of acute muscle pain, this can often be very intense, and in the short term can limit or modify the use of components of the musculoskeletal system associated with the sensitive muscle. Chronic muscle pain can also be intense, as well as unpleasant and disabling, and it is in many cases the over-riding symptom of most musculoskeletal disorders that are associated with long-term deleterious changes in musculoskeletal function.

This book demonstrates the beneficial effects in brain circuits involving memory and attention, reward and social values, decision making and coordination, creativity and persistence of the skills and expertise of continuing education and exposure to the Arts; including chess practice, music/counting, college education and watching movies. These activities were reviewed and investigated using full-spectrum, advanced quantitative imaging techniques. The book highlights extensive applications for this research in common diseases, together with cutting-edge and full-spectrum static and dynamic, functional and structural, regional and inter-network, imaging and phenotypic scales. It will capture the interest of researchers in the areas of neurodevelopmental, neuroplasticity and neuropsychiatric imaging and correlation, as well as disease diagnosis and treatment, and could help convey the methodological innovation and neuroscientific applications of important educational, health and arts/science-related topics.

This volume provides a variety of technical approaches to study dopamine system function and dysfunction. Chapters guide readers through dopamine release in ex vivo and freely moving animals, multi-recording devices for in vivo simultaneous single cell and population activity, in silico modeling of dopamine neurons activity, neuroanatomical approaches, unbiased stereology, ultrastructural analyses of dopaminergic neurons, and axonal innervation. Additionally, chapters also incorporate pharmacological tools to model neuropsychiatric diseases, novel behavioral paradigms to dissect dopamine's role in behavior, and functional imaging to follow human dopamine system development. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting-edge, Dopamine Neurotransmission aims to be a valuable resource for researchers in various disciplines.

This volume provides insight into gibbon diet and community ecology, the mating system and reproduction, and conservation biology, all topics which represent areas of substantial progress in understanding socio-ecological flexibility and conservation needs of the hylobatid family. This work analyzes hylobatid evolution by synthesizing recent and ongoing studies of molecular phylogeny, morphology, and cognition in a framework of gibbon and siamang evolution. With its clearly different perspective, this book is written to be read, referenced, and added to the bookshelves of scientists, librarians, and the interested public.

Biological Psychology is the study of psychological processes in terms of biological functions. A major obstacle to understanding dialogue in the field has always been its terminology which is drawn from a variety of non-psychological sources such as clinical medicine, psychiatry and neuroscience, as well as specialist areas of psychology such as ethology, learning theory and psychophysics. For the first time, a distinguished international team of contributors has now drawn these terms together and defined them both in terms of their physical properties and their behavioural significance.
The Dictionary of Biological Psychology will prove an invaluable source of reference for undergraduates in psychology wrestling with the fundamentals of brain physiology, anatomy and chemistry, as well as researchers and practitioners in the neurosciences, psychiatry and the professions allied to medicine. It is an essential resource both for teaching and for independent study, reliable for fact-checking and a solid starting point for wider exploration.

eBook available with sample pages: 0203298845

Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from molecular interactions within single neurons to the processing of information by neural networks. He avoids theoretical mathematics and provides just enough of the basic math used by experimentalists.

What makes this resource unique is the inclusion of a CD-ROM that furnishes interactive modeling examples. It contains tutorials and demos, movies and images, and the simulation scripts necessary to run the full simulation described in the chapter examples. Each chapter covers: the theoretical foundation; parameters needed; appropriate software descriptions; evaluation of the model; future directions expected; examples in text boxes linked to the CD-ROM; and references.

The first book to bring you cutting-edge developments in neuronal modeling. It provides an introduction to realistic modeling methods at levels of complexity varying from molecular interactions to neural networks. The book and CD-ROM combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques.

This volume deals with some of the association areas of the cerebral cortex and with the auditory cortex. In the first chapter, by Deepak Pandya and Edward Yeterian, the general architectural features and connections of cortical associ ation areas are considered; as these authors point out, in primates the association areas take up a considerable portion of the total cortical surface. Indeed, it is the development of the association areas that accounts for the greatest differ ences between the brains of primate and non primate species, and these areas have long been viewed as crucial in the formation of higher cognitive and be havioral functions. In the following chapter, Irving Diamond, David Fitzpatrick, and James Sprague consider the question of whether the functions of the as sociation areas depend on projections from the sensory areas of the cortex. They use the visual cortex to examine this question and show that there is a great deal of difference between species in the amount of dependence, the differences being paralleled by variations in the manner in which the geniculate and pulvinar nuclei of the thalamus project to the striate and extra striate cortical areas. One of the more interesting and perhaps least understood of the association areas is the cingulate cortex, discussed by Brent Vogt. Cingulate cortex has been linked with emotion and with affective responses to pain, and in his chapter Vogt gives an account of its cytoarchitecture, connections, and functions."

Most brain related activity has focussed on specialized interests within individual disciplines. Recent multidisciplinary activity has provided the impetus to break down these boundaries and encourage a freer exchange of information across disciplines. This text reflects these developments. It spans the landscape of brain science to provide core information from 12 disciplines (including evolution, philosophy, anatomy, chemistry, computer science, brain dynamics, psychology, neurology, psychiatry, psychotherapy and brain imaging).
In outlining how and why it is now possible to realistically model aspects of the brain's dynamics from such a wide range of intellectual endeavors, this book will prove itself useful to undergraduates, postgraduates and all those seeking a contemporary perspective and evaluation of the current status and future directions in the brain sciences.

For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. The visual cortex is easily accessible through a variety of recording and imagining techniques and allows mapping of high level behavior relatively directly to neural mechanisms. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.

This book covers wide areas of animal and human psychopharmacology with clinical utility in the treatment of psychiatric and neurological (e.g Alzheimer's disease) disorders. The main theme is to develop a new paradigm for drug discovery that questions the claim that animal models or assays fail adequately to predict Phase 3 clinical trials. A new paradigm is advocated that stresses the importance of intermediate staging points between these extremes that depend on suitable translation of findings from animal studies to Phase 1 or Phase 2 studies utilising experimental medicine.

Over the last twenty-five years, there has been an extensive effort, still growing for that matter, to explore and understand the organization of extrastriate cor tex in primates. We now recognize that most of caudal neocortex is visual in some sense and that this large visual region includes many distinct areas. Some of these areas have been well defined, and connections, neural properties, and the functional consequences of deactivations have been studied. More recently, non invasive imaging of cortical activity patterns during visual tasks has led to an expanding stream of papers on extrastriate visual cortex of humans, and results have been related to theories of visual cortex organization that have emerged from research on monkeys. Against this backdrop, the time seems ripe for a review of progress and a glance at the future. One caveat important to emphasize at the very onset is that the reader may be puzzled or confused by the use of different terminologies. Individual investi gators commonly tend to favor different terminologies, but in general some prove more advantageous than others. As discussed by Rowe and Stone (1977) as well as by others, there is an unfortunate tendency for role-indicating names to lead to fixed ideas about function, in contrast to those that are more neutral and adaptable to new findings."

Analogy and Structure provides the necessary foundation for understanding the nature of analogical and structuralist (or rule-based) approaches to describing behavior. In the first part of this book, the mathematical properties of rule approaches are developed; in the second part, the analogical alternative to rules is developed. This book serves as the mathematical basis for Analogical Modeling of Language (Kluwer, 1989). Features include: A Natural Measure of Uncertainty: The disagreement between randomly chosen occurences avids the difficulties of using entropy as the measure of uncertainty. Optimal Descriptions: The implicit assumption of structuralist descriptions (namely, that descriptions of behavior should be corrected and minimal) can be derived from more fundamental statements about the uncertainty of rule systems. Problems with Rule Approaches: The correct description of nondeterministic behavior leads to an atomistic, analog alternative to structuralist (or rule-based) descriptions. Natural Statistics: Traditional statistical tests are eliminated in favor of statistically equivalent decision rules that involve little or no mathematical calculation. Psycholinguistic Factors: Analogical models, unlike, neural networks, directly account for probabilistic learning as well as reaction times in world-recognition experiments.

Recent work in cognitive science, much of it placed in opposition to a computational view of the mind, has argued that the concept of representation and theories based on that concept are not sufficient to explain the details of cognitive processing. These attacks on representation have focused on the importance of context sensitivity in cognitive processing, on the range of individual differences in performance, and on the relationship between minds and the bodies and environments in which they exist. In each case, models based on traditional assumptions about representation have been assumed to be too rigid to account for the effects of these factors on cognitive processing. In place of a representational view of mind, other formalisms and methodologies, such as nonlinear differential equations (or dynamical systems) and situated robotics, have been proposed as better explanatory tools for understanding cognition.
This book is based on the notion that, while new tools and approaches for understanding cognition are valuable, representational approaches do not need to be abandoned in the course of constructing new models and explanations. Rather, models that incorporate representation are quite compatible with the kinds of complex situations being modeled with the new methods. This volume illustrates the power of this explicitly representational approach--labeled "cognitive dynamics"--in original essays by prominent researchers in cognitive science. Each chapter explores some aspect of the dynamics of cognitive processing while still retaining representations as the centerpiece of the explanations of the key phenomena. These chapters serve as an existence proof that representation is not incompatible with the dynamics of cognitive processing. The book is divided into sections on foundational issues about the use of representation in cognitive science, the dynamics of low level cognitive processes (such as visual and auditory perception and simple lexical priming), and the dynamics of higher cognitive processes (including categorization, analogy, and decision making).

How the human visual system determines the lightness of a surface, that is, its whiteness, blackness, or grayness, remains--like vision in general--a mystery. In fact, we have not even been able to create a machine that can determine, through an artificial vision system, whether an object is white, black, or gray. Although the photoreceptors in the eye are driven by light, the light reflected by a surface does not reveal its shade of gray. Depending upon the level of illumination, a surface of any shade of gray can reflect any amount of light.
In Seeing Black and White Alan Gilchrist ties together over 30 years of his own research on lightness, and presents the first comprehensive, historical review of empirical work on lightness, covering the past 150 years of research on images ranging from the simple to the complex. He also describes and analyzes the many theories of lightness--including his own--showing what each can and cannot explain. Gilchrist highlights the forgotten-yet-exciting work done in the first third of the twentieth century, describing several crucial experiments and examining the brilliant but nearly unknown work of the Hungarian gestalt theorist, Lajos Kardos.
Gilchrists review also includes a survey of the pattern of lightness errors made by humans, many of which result in delightful illusions. He argues that because these errors are not random, but systematic, they are the signature of our visual software, and so provide a powerful tool that can reveal how lightness is computed. Based on this argument and the concepts of anchoring, grouping, and frames of reference, Gilchrist presents a new theoretical framework that explains an unprecedented array oflightness errors. As both the first comprehensive overview of research on lightness and the first unified presentation of Gilchrists new theoretical framework Seeing Black and White will be an invaluable resource for vision scientists, cognitive psychologists, and cognitive neuroscientists.

The last decade has generated a multitude of studies using in vitro model systems to explore growth and differentiation of the nervous system. Although the findings have been exciting and have revealed unique properties of neural cells, considerable concern continues to be expressed regarding the significance of in vitro findings in terms of their applicability to in vivo biological events. To examine this issue further, a group of scientists pre sented and discussed their findings at a conference sponsored by the Institute of Developmental Neuroscience and Aging held in Crete, Greece, 26-29 May 1985. The conference was cosponsored by the University of Crete and was generously supported by the Ministry of Research and Technology of Greece, Tourism Organization of Greece, and also Sandoz and FIDIA. The Directors of the Institute of Developmental Neuroscience and Aging are indebted to these Institutions for their support. For the success of this conference, the Directors owe much to Drs. Eleni Fleischer-Lambropoulos and Yiannis Tsouderos, who spent countless hours in making arrangements so that the participants would have not only a scientific, but also a unique cultural, experience. Several chapters of this book focus on the complex phenomena of neurogenesis and gliogenesis, and the modulation of neuronal differentiation. The concept that neuronal differentiation has both genetic and epigenetic components is documented by elegant studies using both in vitro cultured cells and neurons transplanted in vivo."

nly two things are certain in life, one is that all of us will inevita Obly grow older, the other is that at some point during or at the end of this process we shall die. Inherent to the passage of time is a deterio ration in the structural and functional integrity of our bodies, this pro gressing to such an extent that one or more organ systems will eventu ally begin to fail with the continued health and well-being of the individual coming under threat. Age-associated deficiencies in the musculo-skeletal, cardiovascular, or endocrine systems producing arthri tis, hypertension, stroke or diabetes are all too apparent in our elderly population yet internally caused failures in the function of the nervous system provide the common, and mostly intractable, problems of memory and intellect or locomotion that face and frustrate clinicians. Perhaps the most important factor which can decide the outcome of research studies professing to examine the effects of the passage of time (i. e. the 'process of aging') on the function of the nervous system, or indeed any other organ system, is the selection of appropriate or repre sentative subjects for investigation. The heart of this problem lies in defining what might be considered as 'normal' aging as distinct from age-associated disease; setting the 'goal posts of normality' continues to 1 be a matter of considerable debate."

The understanding of parallel processing and of the mechanisms underlying neural networks in the brain is certainly one of the most challenging problems of contemporary science. During the last decades significant progress has been made by the combination of different techniques, which have elucidated properties at a cellular and molecular level. However, in order to make significant progress in this field, it is necessary to gather more direct experimental data on the parallel processing occurring in the nervous system. Indeed the nervous system overcomes the limitations of its elementary components by employing a massive degree of parallelism, through the extremely rich set of synaptic interconnections between neurons. This book gathers a selection of the contributions presented during the NATO ASI School "Neuronal Circuits and Networks" held at the Ettore Majorana Center in Erice, Sicily, from June 15 to 27, 1997. The purpose of the School was to present an overview of recent results on single cell properties, the dynamics of neuronal networks and modelling of the nervous system. The School and the present book propose an interdisciplinary approach of experimental and theoretical aspects of brain functions combining different techniques and methodologies.

In this volume, distinguished neurologist Jason W. Brown extends the microgenetic theory of the mind by offering a new approach to the problem of time and free will. Brown bases his work on a unitary process model of brain and behavior. He examines the problem of subjective time and free will, the experiential present, the nature of intentionality, and the creative properties of physical growth and mental process.

PDEs are a family of enzymes that catalyze the hydrolysis of intracellular cyclic nucleotides. They are implicated in a number of disorders and dysfunctions and PDE inhibitors have already proven to be effective therapies for erectile dysfunction, COPD, and psoriatic arthritis. This family of enzymes also plays a role in diseases and disorders of the CNS such as depression, anxiety, schizophrenia, and Alzheimer's Disease. Unfortunately no effective PDE inhibitors have been developed for the treatment of these diseases. The proposed book will be a comprehensive overview of the current state of basic and translational research on PDE inhibitors written by internationally recognized experts. Authors will also discuss potential PDE subtypes and splice variants in the hopes that this will spur more creative approaches to PDE targeting drugs.

Recent research has revealed the importance of immunological mechanisms and inflammation in delaying damage and/or promoting repair after an acute injury to the central nervous system. This book provides a comprehensive and up-to-date overview of the role of immunological mechanisms and therapies for treating acute neurological injuries such as cerebral ischemia, hemorrhage, and brain and spinal cord trauma. In several sections, the contributing authors provide a review of immunological mechanisms involved in neurological injury and of various translational and clinical research aimed at harnessing those mechanisms for better patient outcomes.

In this fundamental book the authors devise a framework that describes the working of the brain as a whole. It presents a comprehensive introduction to the principles of Neural Information Processing as well as recent and authoritative research. The books guiding principles are the main purpose of neural activity, namely, to organize behavior to ensure survival, as well as the understanding of the evolutionary genesis of the brain. Among the developed principles and strategies belong self-organization of neural systems, flexibility, the active interpretation of the world by means of construction and prediction as well as their embedding into the world, all of which form the framework of the presented description. Since, in brains, their partial self-organization, the lifelong adaptation and their use of various methods of processing incoming information are all interconnected, the authors have chosen not only neurobiology and evolution theory as a basis for the elaboration of such a framework but also systems and signal theory. The most important message of the book and authors is: brains are evolved as a whole and a description of parts although necessary lets one miss the wood for the trees.

Recent advances in neuroscience suggest that the human brain is particularly well-suited to design things: concepts, tools, languages and places. Current research even indicates that the human brain may indeed have evolved to be creative, to imagine new ideas, to put them into practice, and to critically analyze their results. Projective Processes and Neuroscience in Art and Design provides a forum for discussion relating to the intersection of projective processes and cognitive neuroscience. This innovative publication offers a neuroscientific perspective on the roles and responsibilities of designers, artists, and architects, with relation to the products they design. Expanding on current research in the areas of sensor-perception, cognition, creativity, and behavioral processes, this publication is designed for use by researchers, professionals, and graduate-level students working and studying the fields of design, art, architecture, neuroscience, and computer science.

This book brings together an internationally respected group of researchers for the purpose of examining neuroplasticity, a topic of immense current interest in psychology, neuroscience, neuropsychology, and clinical neurology. The chapters represent state-of-the-art work on neuroplasticity at all levels: behavioral, neural, and molecular. They describe recent work on memory ranging from cellular morphological studies in invertebrates to research on the human brain made possible by new advances in neuroimaging technology. The book begins with an introductory chapter that considers the psychology of memory at the global, structural level. The remainder of the volume is divided into three related parts. The first focuses on recent approaches, which are based in part on new technology, that aim to measure and describe activity in relatively large populations of neurons. The second focuses on memory at the level of brain systems. One major theme to emerge from work at this level is that memory is composed of multiple, separable components that can be identified with specific anatomical structures and connections. The third part of the book focuses on molecular and cellular studies that show how individual neurons and their synapses behave in a history-dependent manner. This research concerns both brief changes in synaptic plasticity as well as more lasting changes in connectivity, which depend on altered gene expression and morphological growth and change. Altogether, the chapters provide a rich summary of the breadth and excitement of contemporary research on the biology of memory.