Space Time Computing With Temporal Neural Networks

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Space Time Computing With Temporal Neural Networks

Author : James E. Smith
ISBN : 9781627058902
Genre : Computers
File Size : 55.88 MB
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Understanding and implementing the brain's computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain's computational capabilities far beyond those of conventional computers, its energy efficiency is truly remarkable. This book, written from the perspective of a computer designer and targeted at computer researchers, is intended to give both background and lay out a course of action for studying the brain's computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author. As background, relevant biological features are described in terms of their computational and communication properties. The brain's neocortex is constructed of massively interconnected neurons that compute and communicate via voltage spikes, and a strong argument can be made that precise spike timing is an essential element of the paradigm. Drawing from the biological features, a mathematics-based computational paradigm is constructed. The key feature is spiking neurons that perform communication and processing in space-time, with emphasis on time. In these paradigms, time is used as a freely available resource for both communication and computation. Neuron models are first discussed in general, and one is chosen for detailed development. Using the model, single-neuron computation is first explored. Neuron inputs are encoded as spike patterns, and the neuron is trained to identify input pattern similarities. Individual neurons are building blocks for constructing larger ensembles, referred to as "columns". These columns are trained in an unsupervised manner and operate collectively to perform the basic cognitive function of pattern clustering. Similar input patterns are mapped to a much smaller set of similar output patterns, thereby dividing the input patterns into identifiable clusters. Larger cognitive systems are formed by combining columns into a hierarchical architecture. These higher level architectures are the subject of ongoing study, and progress to date is described in detail in later chapters. Simulation plays a major role in model development, and the simulation infrastructure developed by the author is described.
Category: Computers

Efficient Processing Of Deep Neural Networks

Author : Vivienne Sze
ISBN : 9781681738321
Genre : Computers
File Size : 81.7 MB
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This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Category: Computers

Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence

Author : Nikola K. Kasabov
ISBN : 9783662577158
Genre : Computers
File Size : 50.87 MB
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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.
Category: Computers

Space Time And Number In The Brain

Author : Stanislas Dehaene
ISBN : 9780123859495
Genre : Medical
File Size : 55.68 MB
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The study of mathematical cognition and the ways in which the ideas of space, time and number are encoded in brain circuitry has become a fundamental issue for neuroscience. How such encoding differs across cultures and educational level is of further interest in education and neuropsychology. This rapidly expanding field of research is overdue for an interdisciplinary volume such as this, which deals with the neurological and psychological foundations of human numeric capacity. A uniquely integrative work, this volume provides a much needed compilation of primary source material to researchers from basic neuroscience, psychology, developmental science, neuroimaging, neuropsychology and theoretical biology. The first comprehensive and authoritative volume dealing with neurological and psychological foundations of mathematical cognition Uniquely integrative volume at the frontier of a rapidly expanding interdisciplinary field Features outstanding and truly international scholarship, with chapters written by leading experts in a variety of fields
Category: Medical

Artificial Crime Analysis Systems Using Computer Simulations And Geographic Information Systems

Author : Liu, Lin
ISBN : 9781599045931
Genre : Business & Economics
File Size : 61.82 MB
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In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably. Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.
Category: Business & Economics

Intelligent Image And Video Interpretation Algorithms And Applications

Author : Tian, Jing
ISBN : 9781466639591
Genre : Computers
File Size : 47.25 MB
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Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest. Intelligent Image and Video Interpretation: Algorithms and Applications covers all aspects of image and video analysis from low-level early visions to high-level recognition. This publication highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.
Category: Computers

Computational Intelligence In Archaeology

Author : Barcelo, Juan A.
ISBN : 9781599044910
Genre : Computers
File Size : 37.32 MB
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Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.
Category: Computers

New Trends In Neural Computation

Author : International Workshop on Artificial Neural Networks$ (1993 : Sitges, Espagne)
ISBN : 3540567984
Genre : Computers
File Size : 70.50 MB
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Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).
Category: Computers

Perception Of The Visual Environment

Author : Ronald G. Boothe
ISBN : 9780387216508
Genre : Psychology
File Size : 49.81 MB
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Aimed at students taking a course on visual perception, this textbook considers what it means for a man, a monkey and a computer to perceive the world. After an introduction and a discussion of methods, the book deals with how the environment produces a physical effect, how the resulting "image" is processed by the brain or by computer algorithms in order to produce a perception of "something out there". It also discusses color, form, motion, distance, and also the sensing of three dimensionality, before dealing with visual perception and its role in awareness and consciousness. The book concludes with discussions of perceptual development, blindness, and visual disorders. Visual perception is by its very nature an interdisciplinary subject that requires a basic understanding of a range of topics from diverse fields, and this is a very readable guide to all students whether they come from a neuroscience, psychology, cognitive science, robotics, or philosophy background.
Category: Psychology

Models Of Neural Networks Iv

Author : J. Leo van Hemmen
ISBN : 0387951059
Genre : Computers
File Size : 41.68 MB
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This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.
Category: Computers

Government Reports Annual Index

Author :
ISBN : WISC:89039101910
Genre : Government reports announcements & index
File Size : 71.49 MB
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Category: Government reports announcements & index

Optical Signal Processing

Author : M.A. Fiddy
ISBN : 0792392159
Genre : Technology & Engineering
File Size : 63.25 MB
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Category: Technology & Engineering

Artificial Neural Networks Icann 2009

Author : Cesare Alippi
ISBN : 9783642042737
Genre : Computers
File Size : 87.38 MB
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This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.
Category: Computers

Fuzzy Logic And Neural Network Handbook

Author : Chi-hau Chen
ISBN : UOM:39015037342592
Genre : Computers
File Size : 41.15 MB
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A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR
Category: Computers

Artificial Neural Networks In Pattern Recognition

Author : Friedhelm Schwenker
ISBN : 9783540379515
Genre : Business & Economics
File Size : 46.33 MB
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The second IAPR TC3 Workshop on Arti'cial Neural Networks in Pattern Recognition, ANNPR 2006, was held at the University of Ulm (Germany), - gust 31 - September 2, 2006. The Neural Networks and Computational Intel- gence (TC3) group is one of the 20 Technical Committees of the International AssociationforPatternRegognition(IAPR).ThescopeofTC3includesCom- tational Intelligence approaches, such as fuzzy systems, evolutionary computing and arti'cial neural networks in various pattern recognition applications. AN- NPR 2006 succeeded the outstanding ?rst ANNPR workshop held at the U- versity of Florence in September 2003 and focused on arti'cial neural networks inspired from pattern recognition tasks. In recent years, the ?eld of neural networks has matured considerably in both methodology and real-world applications. As re'ected in this book, art- cial neural networks in pattern recognition combine many ideas from machine learning,advancedstatistics,signalandimageprocessing,andstatisticalpattern recognition for solving complex real-world pattern recognition problems. High quality across such a diverse ?eld of research can only be achieved through a rigorous and selective review process. For this workshop, 49 papers were submitted out of which 26 were selected for inclusion in the proceedings. ANNPR 2006 featured research work in the areas of neural network learning - unsupervised, semi-supervised and supervised - support vector machines, mul- ple classi'er systems, pattern recognition in image processing, and data mining in bioinformatics.
Category: Business & Economics