الصفحة 4
الصفحة 4
Brain dynamics : An introduction to models and simualtions
Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. Topics also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiological system.
Brain Control of Wakefulness and Sleep
The book is rich in references and leaves no aspect of the problem untouched. The morphological, pharmacological, physiological and mathematical modeling aspects of different components of the subject are treated to exhaustion...the book is richly illustrated and down-right comprehensive. It will delight those interested in the field, will inform those who need a context for their research efforts and is a must for graduate and medical libraries.
Biomimetic neural learning for intelligent robots : Intelligent systems, cognitive robotics, and neuroscience
This book presents research performed as part of the EU project on biomimeticmultimodal learning in a mirror neuron-based robot (MirrorBot) and contribu-tions presented at the International AI-Workshop on NeuroBotics. The over-all aim of the book is to present a broad spectrum of current research intobiomimetic neural learning for intelligent autonomous robots. In this book we show the development of newtechniques using cell assemblies, associative neural networks, and Hebbian-typelearning in order to associate vision, language and motor concepts. We havedeveloped biomimetic multimodal learning and language instruction in a robotto investigate the task of searching for objects. As well as the research performedin this area for the MirrorBot project, the second part of this book incorporatessignificant contributions from other research in the field of biomimetic robotics.This second part of the book concentrates on the progress made in neuroscienceinspired robotic learning approaches (in short: NeuroBotics). We hope that this book stimulates and encourages new research in this in-teresting and dynamic area.
Bio-mechanisms of swimming and flying ; Fluid dynamics, biomimetic robots, and sports science
This book follows "Bio-mechanisms of Animals in Swimming and Flying" published in 2004 including 11 chapters. This time, the book includes 31 chapters on the latest researches into natural autonomous systems and locomotion in both flying and swimming organisms. The area of sports science such as analysis and simulation of human swimming is newly added. The computational frameworks for the modeling, simulation and optimization of animals in swimming and flying demonstrate an important role in the progress of interdisciplinary work in the fields of biology and engineering. An innovative technology is exhibited for the flight of an insect size micro air vehicle. Neuronal science is not only unveiling the locomotion mechanisms of swimming in fish from the aspect of the neuronal activities, but also applied to underwater biomimetic robots. The interdisciplinary works are exhibited in the fields of biology and engineering, yielding real-world benefits in innovative technologies.
Bioimaging in Neurodegeneration
offers both the physician and researcher a critical survey of the best new technologies for studying neurodegeneration, as well as describing their optimal use in the diagnosis and treatment of specific neurodegenerative diseases
Axonal branching and recovery of coordinated muscle activity after transsection of the facial nerve in adult rats
Facial nerve surgery inevitably leads to partial pareses, abnormally associated movements and pathologically altered reflexes. The reason for this "post-paralytic syndrome" is the misdirected reinnervation of targets
Axon growth and guidance
The complexarchitectureofneuronal networks togetherwith the extraordinary associated functions make the nervous system a fascinating biological structure. The considerable work performed to explore this cellular machinery is nowadays successfulbecause the mysteryofnervous system developmentisbeing unravelled. As described in their outstanding review published 10 years ago in Science.' Marc Tessier-Lavigne and Corey Goodman-the pioneers of the molecular era of axon guidance-summarized the assembly of nervous system connections as a subtle game of attraction and repulsion of neuronal growth cones. The cellular ballet ensuring the formation of billions of synapses, which ultimately gives rise to the highest cognitive functions, is primarily orchestrated by a step-by-step mechanism of growth driven by multiple molecular cues. While our general concept of axon guidance remains identical, a profound evolution ofour knowledge ofthe molecular identityofthe guidance cues together with their interactions and signalling pathways occurred over the past ten years.
Atlas of Neuromuscular Diseases : A Practical Guideline
A comprehensive outline of neuromuscular diseases, written by experienced American and European authors. It discusses all aspects of neuromuscular disorders including the cranial nerves, spinal nerves, motor neurone disease, the nerve plexus, peripheral nerves, mononeuropathies, entrapment syndromes, polyneuropathies, the neuromuscular junction, and muscle disease. Each chapter is uniformly structured into anatomy, symptoms, signs, pathogentic possibilities, diagnosis and differential diagnosis, therapy and prognosis. Additionally the diagnostic tools and investigations used in neuromuscular disease are explained and a practical guide is given how to advance from symptoms to syndromes. For each disease the therapeutic options are described. It contains large number of clinical and histologic pictures from the practical experience of the authors and also a number of artists drawings to facilitate the understanding of anatomic structures.
Artificial neural networks in Vehicular Pollution Modelling
Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas. The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control.
Artificial neural networks for the Modelling and Fault Diagnosis of Technical Processes
In this book, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.
Advances in neural networks -- ISNN 2007 ; 4th International symposium on neutral networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part II
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part I
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International symposium on neural networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Network Electrophysiology : Using Multi-Electrode Arrays
This book book is an attempt to review the recent progress in both electronics and computational tools developed to analyze the functional operations of large ensembles of neurons and to provide the readers with a sense of the applications made possible by these technological tools. While considerable progress has been made over the last decades in our understanding of electrophysiological processes at the single channel, single synapse, and single neuron levels, our understanding of electrophysiological
Advances in cognitive neurodynamics ICCN 2007; Proceedings of the International conference on cognitive neurodynamics - 2007
Contains the Proceedings of the 1st International Conference on Cognitive Neurodynamics held in Shanghai, November 17-21, 2007. The participants were treated to an exciting and stimulating conference that left everyone with an enthusiastic vision for the future of the field. The latest important progress was covered by 13 mini-symposia including: Models of Mental Disorders; Cognitive Machines; Dynamics in learning and memory; Central nervous system synchronization; Neuroinformatics; Cognitive Computational Modeling of Human Language Processing; Cognitive Neurodynamics of Attention; Bottom-Up and Top-Down; Brain Networks; From Anatomy to Dynamics; Translational Cognitive Neuroimaging; K-sets; Theory and Applications; Advanced Signal Processing Techniques for Brain Data Analysis; Visual cortex: information processing and dynamics; Dynamics of Firing Patterns and Synchronization in Neuronal Systems.
Adaptive Spatial Filters for Electromagnetic Brain Imaging
Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance.
