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| Author | : Robert J. Webster |
| Publisher | : |
| Total Pages | : 168 |
| Release | : 1989 |
| Genre | : |
| ISBN | : |
| Author | : Wade H. Shafer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 421 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 1461534747 |
Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all con cerned if the printing and distribution of the volumes were handled by an interna tional publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Cor poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 34 (thesis year 1989) a total of 13,377 theses titles from 26 Canadian and 184 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this important annual reference work. While Volume 34 reports theses submitted in 1989, on occasion, certain univer sities do report theses submitted in previous years but not reported at the time.
| Author | : Wolfgang Maass |
| Publisher | : MIT Press |
| Total Pages | : 414 |
| Release | : 2001-01-26 |
| Genre | : Computers |
| ISBN | : 9780262632218 |
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development, neurobiological modeling, and hardware implementation. This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. Terrence J. Sejnowski's foreword, "Neural Pulse Coding," presents an overview of the topic. The first half of the book consists of longer tutorial articles spanning neurobiology, theory, algorithms, and hardware. The second half contains a larger number of shorter research chapters that present more advanced concepts. The contributors use consistent notation and terminology throughout the book. Contributors Peter S. Burge, Stephen R. Deiss, Rodney J. Douglas, John G. Elias, Wulfram Gerstner, Alister Hamilton, David Horn, Axel Jahnke, Richard Kempter, Wolfgang Maass, Alessandro Mortara, Alan F. Murray, David P. M. Northmore, Irit Opher, Kostas A. Papathanasiou, Michael Recce, Barry J. P. Rising, Ulrich Roth, Tim Schönauer, Terrence J. Sejnowski, John Shawe-Taylor, Max R. van Daalen, J. Leo van Hemmen, Philippe Venier, Hermann Wagner, Adrian M. Whatley, Anthony M. Zador
| Author | : Kazuyuki Murase |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 402 |
| Release | : 2006-01-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3540293442 |
This volume contains a collection of papers presented at the 3rd Interna tional Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005) that is held at Awara-Spa, Fukui, Japan, September 20-22, 2005. This is a biennial symposium, which started as AMiRE 2001 at the Heinz Nixdorf Institute of the University of Paderborn, Germany, in 2001, and was followed by AMiRE 2003 at Queensland University of Technology, Brisbane, Australia, in 2003. After these successful symposia, AMiRE 2005 is held under the sponsorship of the Faculty of Engineering, University of Fukui and under the co-sponsorship of the IEEE Robotics and Automation Society. It is funded by the Fukui Convention Bureau and the University of Fukui. Each full-length paper submitted to the symposium was independently reviewed by 3 referees from the world's front-line researchers, and 55 papers were accepted for oral presentation. We acknowledge generous support for those who gave excellent reviews in order to maintain the high standards of the symposium despite a very tight schedule.
| Author | : Martin T. Hagan |
| Publisher | : |
| Total Pages | : |
| Release | : 2003 |
| Genre | : Neural networks (Computer science) |
| ISBN | : 9789812403766 |
| Author | : Wulfram Gerstner |
| Publisher | : Cambridge University Press |
| Total Pages | : 498 |
| Release | : 2002-08-15 |
| Genre | : Computers |
| ISBN | : 9780521890793 |
Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.
| Author | : Lazaros Iliadis |
| Publisher | : Springer Nature |
| Total Pages | : 544 |
| Release | : 2022-06-14 |
| Genre | : Computers |
| ISBN | : 3031082230 |
This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.
| Author | : Nikola K. Kasabov |
| Publisher | : Springer |
| Total Pages | : 742 |
| Release | : 2018-08-29 |
| Genre | : Technology & Engineering |
| ISBN | : 3662577151 |
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
| Author | : |
| Publisher | : |
| Total Pages | : 994 |
| Release | : 1995 |
| Genre | : Aeronautics |
| ISBN | : |
| Author | : Randall C. O'Reilly |
| Publisher | : MIT Press |
| Total Pages | : 540 |
| Release | : 2000-08-28 |
| Genre | : Medical |
| ISBN | : 9780262650540 |
This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
