1998, ISBN: 45cd21e3400d5788c6f737780466f6d1

Hardback. New. The artificial intelligence of robots capable of learning from their errors and modifying their behavior accordingly is modeled on the activity of neurons in the brain.Emo… Mehr…

Hardback. New. The artificial intelligence of robots capable of learning from their errors and modifying their behavior accordingly is modeled on the activity of neurons in the brain.Emotional stress, traffic accidents, bereavement; these are all factors that can disrupt this neural activity, sometimes to the point of generating suffering that can be difficult to relieve. Neurofeedback, derived from neuroscience, is a computerized technique for training and re-balancing the brain's electrical activity using neuroplasticity, which allows the brain to self-correct and regain a stable equilibrium, thus promoting recovery from traumas and a return to well-being. Neurofeedback: Tools, Methods and Applications deals with neurofeedback, explaining the functioning of the tool, its action on the equilibration of neural activity, and the differences between classical and dynamic systems. The results of the author's research and observations, the applications of these two tools, and the effects produced on the patients are explored, along with testimonies that describe and explain concepts in detail.Different neurofeedback tools are presented in this book, together with their function and explicit specificities adapted to the needs of each user. Their applications to psychological and cognitive disorders make neurofeedback an efficient and promising neurotherapy technique., 6, Hardback. New. Suitable for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way, this title examines the solvability of infinite systems of reaction diffusion type equations in partially ordered abstract spaces. It considers various methods and techniques of nonlinear analysis., 6, Minor rubbing. Some light page-edge soil. VG. Neuroinformatics MIT Press Cambridge [MA] (2003) orig.boards 26x18cm, xxv,1687 pp Contains 210 papers concerning Cognitive Science / Artificial Intelligence;Neuroscience; Theory; Algorithms & Architectures; Emerging Technologies, Speech & Signal Processing; Visual Processing; Applications; Reinforcement Learning & Control. Includes: Fast Exact Inference with a Factored Model for Natural Language Parsing; Predictions & Semantic Association; Replay, Repair & Consolidation; Binary Coding in Auditory Cortex; How Linear Are Auditory Cortical Responses? Spikernels: Embedding Spiking Neurons in Inner-Product Spaces; A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages; Stable Fixed Points of Loopy Belief Propogation Are Local Minima of the Bethe Free Energy; Dyadic Classification Trees via Structural Risk Minimization; Bayesian Monte Carlo; Adapting Codes & Embeddings for Polychotomies; Learning Semantic Similarity; Circuit Model of Short-term Synaptic Dynamics; A Probabilistic Approach to Single Channel Blind Signal Separation; Bayesian Estimation of Time-Frequency Coefficients for Audio Signal; Prediction of Protein Topologies Using Generalised IOHMMS & RNNs., MIT Press, 3, New. Originally published in 1983, this title is a determined attack on personality theories current at the time. It critically examines their basic motivational constructs and rejects any that invoke goal-seeking as being inescapably teleological and therefore unacceptable as natural science. Dr Maze argues the necessity for an unqualified determinism in psychology, yet one that incorporates the role of cognitive processes in the formation of behaviour. However, action theories which profess to offer a causal account of apparently goal-seeking or voluntarist behaviour by reference to the internal states of desire for a goal and a belief about how to get it are also dismissed. For the concept of belief as an internal state is argued to be a relativistic one, defined as being intrinsically related to its object. This is an incoherent notion and one which cannot specify anything acceptable as a causal state. The one motivational theory in dynamic psychology which offered a solution to these problems was Sigmund Freud's formulation of his instinctual drive concept, defined as an innate physiological driving mechanism with preformed consummatory behaviours: his 'specific actions'. But his hydraulic models have been patronisingly dismissed by modern neurologists, arguing that there are no 'flush-toilets' in the central nervous system. This book argues that such a glib dismissal is shallow minded, and that a reformulation of Freud's concept in terms of modern neuroscience is readily available, though the problem of identifying the relevant structures remains formidable. The book is of immediate interest to all those seriously concerned with the springs and meanings of human behaviour, whether they be psychologists, psychoanalysts, philosophers or those generally interested in social and ethical theory., 6, New. Explore traditional and alternative models in human behavior Human Behavior and the Social Environment challenges students to use the traditional and alternative paradigm framework to evaluate and understand the relationship between theories of human behavior and the social environment and their use in social work practice. Through this examination, readers will better understand the people they will work with on individual, family, group, organizational, community, and global levels. By engaging with critical issues in social work and human behavior, students will recognize the range of social systems in which people live and the ways these systems promote or deter people in their health and wellbeing. Updated with a new organization and emphasis on critical thinking, the 7th Edition represents the most comprehensive and in-depth revision since its original publication. New chapters explore the role of neuroscience (Chapter 6) and interplay of identity, diversity, and oppression issues (Chapter 7) in the context of development. New content is included on such topics as the use of technology, evidence-based practice interventions, and environmental social work. Thoroughly updated, every chapter includes information about some of the most pressing issues concerning social work and human behavior in dynamic interaction with the larger physical and social environments of today and tomorrow., 6, Hardback. New. Presents material in the study of areas of complex systems research, with a focus on mind force studies. This book discusses such topics as: mind force theory hyper-network dynamics in neuroscience; neural resonance; a review into the generalised spectrum of dimensions; and, more., 6, Binding corner bump, minor page-edge soil, VG. Textual graphs & tables Neural Computation M.I.T. Press Cambridge (1999) orig.boards 25x18cm, xx,1090 pp Contains 152 papers concerning Cognitive Science, Neuroscience, Theory; Algorithms & Architecture, Implementation, Speech, Handwriting Signal Processing, Visual Processing, Applications,Control, Navigation & Planning.Includes: K. Chen & D.L. Wang "Perceiving without Learning: From Spirals to Inside/Outside Relations"; M.N. Dailey, et al: "Facial Memory is Kernal Density Estimation (Almost)"; J.B.Tenenbaum "Bayesian Modelling of Human Concept Learning"; L.F. Abbott & S. Song "Temporally Asymmetric Hebbian Learning, Spike Timing & Neural Response"; P. Baraduc, et al: "Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements?"; G. Chechik "Neuronal Regulation Implements Efficient Synaptic Pruning"; A. Sakurai "Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks"; T. Tanaka "A Theory of Mean Field Approximation"; M. E. Tipping "Probabilistic Visualization of High-Dimensional Binary Data"; W.T. Freeman & E.G. Pasztor "Learning to Estimate Scenes from Images"; R. Grzeszczuk, et al: "Fast Neural Network Emulation of Dynamical Systems for Computer Animation", etc., M.I.T. Press, 3<

1999, ISBN: 45cd21e3400d5788c6f737780466f6d1

Gebundene Ausgabe

MIT Press. Paperback. 0262632055 This little book begins with a big claim: the city is dead, and cyberspace killed it. But Mitchell, it turns out, is too intelligent an observer to real… Mehr…

MIT Press. Paperback. 0262632055 This little book begins with a big claim: the city is dead, and cyberspace killed it. But Mitchell, it turns out, is too intelligent an observer to really mean anything quite so drastic. Despite his weakness for bold, catchy statements (and it is a weakness), this MIT architecture professor has both feet planted in the long and much-studied history of urban spaces, and he draws from it a pragmatic optimism that keeps his argument both hopeful and nuanced. His real thesis: Under cyberspace's influence, the city is changing, no more or less radically than it did under the influence of postal systems, electricity, and cars. And if we ride the new changes carefully, he insists, the places we live and work in can become "e-topias--lean, green cities that work smarter, not harder." As in his bestselling City of Bits: Space, Place, and the Infobahn, Mitchell floats his claims on a brisk stream of technological detail, much of it eye-opening, all of it clearly presented. Low-earth-orbit satellites; small-scale, wearable computer networks woven into underpants; artificially intelligent houses; and the logistics of high-tech pizza delivery are just a few of the phenomena that go into Mitchell's sketch of the emergent digital city. Casually erudite nods to urban theorists from Plato to Lewis Mumford to William H. Gates III round out the portrait. In the end, Mitchell shows us the city doing more or less what it has always done: evolving away from its simple, ancient roots toward increasingly mediated complexity. --Julian Dibbell --This text refers to the Hardcover edition. From Publishers Weekly For readers who've been crouched over their Commodore 64s for the past two decades, here's a user's guide to the perils and pleasures of a digitally shaped future. In this extended postscript to his well-received City of Bits, Mitchell, dean of MIT's School of Architecture and Planning, chronicles the disparate effects of the digital revolution, arguing that we need to think of architecture and urban design in terms of virtual spaces and places. Offering short, evocative bitsAor perhaps they're bytesAof his trademark tongue-in-cheek prose, Mitchell discusses how hubs of networked information will transform our cities, just as rail hubs and highway off-ramps generated urban development in the past. In the world of online commerce and 24-hour chat rooms, we're challenged to reinvent public places and reknit our social fabric for the information age. Importantly, Mitchell notes, we'll need to contend with physical consequences of virtual reality, such as the clustering of affluent silicon communities and the marginalization of the poor to places such as crime-ridden East Palo Alto. Much of the book, however, dwells superfluously on techno-gadgetry from wrist-worn stock quote devices to telerobots that, via a dial-up connection and a robotic arm, will enable people to make remote toast. Veterans of the digital frontier will find little new ground here, and others may cavil at the author's habit of writing about "the late 1990s" in the past tense, as if we've already been stranded along some darkened byway of the infobahn. Nonetheless, Mitchell's remains a sensitive and cogent voice amid the mounting decibels of technological hype. (Oct.) Copyright 1999 Reed Business Information, Inc. --This text refers to the Hardcover edition. books carefully packed and shipped promptly . Fine. 2000., MIT Press, 2000, 5, Slight binding corner bumps. Some rubbing. VG Textual graphs & charts Cognitive Science MIT Press Cambridge (MA) (2000) orig.boards 25x18cm, xviii,1080 pp, Some light soil & scratches to rear cover. Contains 150 papers. Includes: J.D. Bayliss & D.H. Ballard "Recognizing Evoked Potentials in a Virtual Environment"; G. Deco "A Neurodynamical Approach to Visual Attention"; X. Liu & D.L. Wang "Perceptual Organization Based on Temporal Dynamics"; S. Parfitt; et al: "Graded Grammaticality in Prediction Fractal Machines"; P. Adorjan "Recurrent Cortical Competition: Strengthen or Weaken?"; G. Chechik; et al: "Effective Learning Requires Neuronal Remodeling of Hebbian Synapses"; D.B. Chklovskii & C.F. Stevens " Wiring Optimization in the Brain"; D.B. Chklovskii "Optimal Sizes of Dendritic & Axonal Arbors"; D.J. Crisp & C.J.C. Burges "A Geometric Interpretation of v-SVM Classifiers"; T. Ohira; et al: "Resonance in a Stochastic Neuron Model with Delayed Interaction"; A.J. Smola; et al: "The Entropy Regularization Information Criterion"; C. Andrieu; et al: "Robust Full Bayesian Methods for Neural Networks"; D. Barber & P. Sollich " Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks"; C.T. Jin & S. Carlile "Neural System Model of Human Sound Localization"; S. Roweis "Constrained Hidden Markov Models"; T.S. Lee & S. X. Yu "An Information-Theoretic Framework for Understanding Saccadic Eye Movements"; M.J. Wainwright & E.P. Simoncelli "Scale Mixtures of Gaussians & the Statistics of Natural Images"; M.C. Mozer; et al: "Churn Reduction in the Wireless Industry"; N. Roy & S. Thrun "Coastal Navigation with Mobile Robots"; etc., MIT Press, 3<

2002, ISBN: 45cd21e3400d5788c6f737780466f6d1

Minor rubbing, VG. Textual graphs & diagrams Unimolecular Reactions Oxford University Press New York / Oxford (1996) orig.cloth 24x16cm, viii,438 pp, Series: The International Series … Mehr…

Minor rubbing, VG. Textual graphs & diagrams Unimolecular Reactions Oxford University Press New York / Oxford (1996) orig.cloth 24x16cm, viii,438 pp, Series: The International Series of Monographs on Chemistry, 31. Contents: Vibrational/ Rotational Energy Levels; Potential Energy Surfaces;State Preparation & Intramolecular Vibrational Energy Redistribution; Experimental Methods in Unimolecular Dissociation Studies; Theory of Unimolecular Decomposition - The Statistical Approach; Applications & Extensions of Statistical Theories; Dynamical Approaches to Unimolecular Rates; Product Energy Distributions; The Dissociation of Small & Large Clusters; Appendix., Oxford University Press, 3, Hardback. New. Bridge design and construction technologies have experienced remarkable developments in recent decades, and numerous long-span bridges have been built or are under construction all over the world. Cable-supported bridges, including cable-stayed bridges and suspension bridges, are the main type of these long-span bridges, and are widely used in highways crossing gorges, rivers, and gulfs, due to their superior structural mechanical properties and beautiful appearance. However, cable-supported bridges suffer from harsh environmental effects and complex loading conditions, such as heavier traffic loads, strong winds, corrosion effects, and other natural disasters. Therefore, the lifetime safety evaluation of these long-span bridges considering the rigorous service environments is an essential task. Features: Presents a comprehensive explanation of system reliability evaluation for all aspects of cable-supported bridges. Includes a comprehensive presentation of the application of system reliability theory in bridge design, safety control, and operational management. Addresses fatigue reliability, dynamic reliability and seismic reliability assessment of bridges. Presents a complete investigation and case study in each chapter, allowing readers to understand the applicability for real-world scenarios. Reliability and Safety of Cable-Supported Bridges provides a comprehensive application and guidelines for system reliability techniques in cable-supported bridges. Serving as a practical educational resource for both undergraduate and graduate level students, practicing engineers, and researchers, it also intends to provide an intuitive appreciation for probability theory, statistical methods, and reliability analysis methods., 6, Minor rubbing. Some light page-edge soil. VG. Neuroinformatics MIT Press Cambridge [MA] (2003) orig.boards 26x18cm, xxv,1687 pp Contains 210 papers concerning Cognitive Science / Artificial Intelligence;Neuroscience; Theory; Algorithms & Architectures; Emerging Technologies, Speech & Signal Processing; Visual Processing; Applications; Reinforcement Learning & Control. Includes: Fast Exact Inference with a Factored Model for Natural Language Parsing; Predictions & Semantic Association; Replay, Repair & Consolidation; Binary Coding in Auditory Cortex; How Linear Are Auditory Cortical Responses? Spikernels: Embedding Spiking Neurons in Inner-Product Spaces; A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages; Stable Fixed Points of Loopy Belief Propogation Are Local Minima of the Bethe Free Energy; Dyadic Classification Trees via Structural Risk Minimization; Bayesian Monte Carlo; Adapting Codes & Embeddings for Polychotomies; Learning Semantic Similarity; Circuit Model of Short-term Synaptic Dynamics; A Probabilistic Approach to Single Channel Blind Signal Separation; Bayesian Estimation of Time-Frequency Coefficients for Audio Signal; Prediction of Protein Topologies Using Generalised IOHMMS & RNNs., MIT Press, 3<

1998, ISBN: 45cd21e3400d5788c6f737780466f6d1

Paperback / softback. New. This book covers the design of new device and material concepts for organic light-emitting devices, demonstrating a new LED architecture, the OLED with field-e… Mehr…

Paperback / softback. New. This book covers the design of new device and material concepts for organic light-emitting devices, demonstrating a new LED architecture, the OLED with field-effect electron transport, which is a hybrid between a diode and a field-effect transistor., 6, Binding corner bump, minor page-edge soil, VG. Textual graphs & tables Neural Computation M.I.T. Press Cambridge (1999) orig.boards 25x18cm, xx,1090 pp Contains 152 papers concerning Cognitive Science, Neuroscience, Theory; Algorithms & Architecture, Implementation, Speech, Handwriting Signal Processing, Visual Processing, Applications,Control, Navigation & Planning.Includes: K. Chen & D.L. Wang "Perceiving without Learning: From Spirals to Inside/Outside Relations"; M.N. Dailey, et al: "Facial Memory is Kernal Density Estimation (Almost)"; J.B.Tenenbaum "Bayesian Modelling of Human Concept Learning"; L.F. Abbott & S. Song "Temporally Asymmetric Hebbian Learning, Spike Timing & Neural Response"; P. Baraduc, et al: "Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements?"; G. Chechik "Neuronal Regulation Implements Efficient Synaptic Pruning"; A. Sakurai "Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks"; T. Tanaka "A Theory of Mean Field Approximation"; M. E. Tipping "Probabilistic Visualization of High-Dimensional Binary Data"; W.T. Freeman & E.G. Pasztor "Learning to Estimate Scenes from Images"; R. Grzeszczuk, et al: "Fast Neural Network Emulation of Dynamical Systems for Computer Animation", etc., M.I.T. Press, 3<

2002, ISBN: 45cd21e3400d5788c6f737780466f6d1

Minor rubbing. Some light page-edge soil. VG. Neuroinformatics MIT Press Cambridge [MA] (2003) orig.boards 26x18cm, xxv,1687 pp Contains 210 papers concerning Cognitive Science / Artifici… Mehr…

Minor rubbing. Some light page-edge soil. VG. Neuroinformatics MIT Press Cambridge [MA] (2003) orig.boards 26x18cm, xxv,1687 pp Contains 210 papers concerning Cognitive Science / Artificial Intelligence;Neuroscience; Theory; Algorithms & Architectures; Emerging Technologies, Speech & Signal Processing; Visual Processing; Applications; Reinforcement Learning & Control. Includes: Fast Exact Inference with a Factored Model for Natural Language Parsing; Predictions & Semantic Association; Replay, Repair & Consolidation; Binary Coding in Auditory Cortex; How Linear Are Auditory Cortical Responses? Spikernels: Embedding Spiking Neurons in Inner-Product Spaces; A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages; Stable Fixed Points of Loopy Belief Propogation Are Local Minima of the Bethe Free Energy; Dyadic Classification Trees via Structural Risk Minimization; Bayesian Monte Carlo; Adapting Codes & Embeddings for Polychotomies; Learning Semantic Similarity; Circuit Model of Short-term Synaptic Dynamics; A Probabilistic Approach to Single Channel Blind Signal Separation; Bayesian Estimation of Time-Frequency Coefficients for Audio Signal; Prediction of Protein Topologies Using Generalised IOHMMS & RNNs., MIT Press, 3<