Image Processing Using Pulse-Coupled Neural Networks

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers th

Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate theoretical and empirical appeal. The contributors to this study review theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. Models are presented for a range of disorders, including schizophrenia, obsessive-compulsive disorder, dissociative phenomena, autism and Alzheimer's disease. This book will appeal to a broad audience. On the one hand, it will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology. On the other, it will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.

Reissue of Jaki Shelton Green's acclaimed premier collection of poetry. Green's earlier works pulse with the intoxicating rhythms and fierce clarity of image that made her one of North Carolina's most

This volume contains a total of thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. There are two gen

An examination of how the eyes capture an image and convert it to the neural messages that result in visual experience. The author avoids the specialized vocabulary of opticians, optometrists, and ot

An account of the applicability of expert systems, neural networks, genetic algorithms and other intelligent software in product formulation, including an explanation of the technology involved and ex

The 58 papers update topics presented in previous conferences. They cover pulse generation and detection, antennas, pulse propagation and guidance, scattering theory, computation and measurements, si

This monograph from a leading neuroscientist and neural networks researcher investigates and offers a fresh approach to the perplexing scientific and philosophical problems of minds and brains. It exp

This text provides a systematic account of artificial neural network paradigms by identifying the fundamental concepts and major methodologies underlying most of the current theory and practice employ

This comprehensive text is a revised and greatly expanded second edition of a book first published in 1987, and provides a thorough introduction to the complex fields of signal coding and signal processing. Among the key topics covered are: the fundamentals of pulse code modulation; modern data compression techniques; block and convolutional error control codes; transmission coding techniques; digital filters; infinite and finite impulse response filters; adaptive filters; and fast Fourier transform theory, implementation and applications. Complete with problems and solutions, and containing over 230 diagrams, this textbook will be invaluable to third and fourth year undergraduates in electronic, electrical or communication engineering. It will also act as a useful reference for anyone working in this technologically important field.

This book presents a unified approach to developing accurate discrete-time models of communication and computer networks, using discrete-time queuing theory and approximation techniques to obtain solu

Deals with radiation processing as a whole using a chemical perspective. Offers basic information on the procedures taking place and covers radiation dosimetry plus a wide range of actual and potentia

Neural Network Learning and Expert Systems is the first book to present a unified and in-depth development of neural network learning algorithms and neural network expert systems. Especially suitable

Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Pac

This book presents the salient features of the general theory of infinite electrical networks in a coherent exposition. Using the basic tools of functional analysis and graph theory, the author examines the fundamental developments in the field and discusses applications to other areas of mathematics. The first half of the book presents existence and uniqueness theorems for both infinite-power and finite-power voltage-current regimes, and the second half discusses methods for solving problems in infinite cascades and grids. A notable feature is the invention of transfinite networks, roughly analogous to Cantor's extension of the natural numbers to the transfinite ordinals. The last chapter is a survey of application to exterior problems of partial differential equations, random walks on infinite graphs, and networks of operators on Hilbert spaces.

In this 1991 book, Hilbers discusses the general case of how to use processors simultaneously in order to solve a single problem rather than any specific application, and develops a theory independent of particular architectures. He starts by introducing distributed computing with graph theory, and considers processor networks and their price/performance ratios. He goes on to look at obtaining homogeneous distributions of work over networks and considers examples. Finally he discusses message routing within a processor network. This is intended to be a fundamental treatment of the relevant subjects and is aimed at computer scientists and graduate students in computer science who have experience with parallel processing: it will also be useful to others interested in processor networks.

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neu

This 1989 book provides an introduction to the immensely important area of computer networking. The book covers everything from systems linked by telephone lines to tightly coupled networks of processors using high speed links, and the correspondingly broad range of techniques that are needed. The emphasis throughout is on the understanding of the principles that may rapidly become out of date. However, detailed discussion of standards and systems is given where they are widely accepted and likely to be long-lasting. In particular the ARPANET and OSI standards are discussed. The author's style is extremely accessible, and many real-life examples are given to illustrate the discussion.

Embodiments of Mind, first published more than two decades ago, teems with intriguing concepts about the mind/brain that are highly relevant to current developments in neuroscience and neural networks

A comprehensive treatment of producing ceramic, glass, and composite materials using chemistry-based processing methods. Synthesizes the most up-to-date research. Includes new areas of computer aided

This best-selling and classic book teaches you the key principles of computer networks with examples drawn from the real world of network and protocol design. Using the Internet as the primary example

Ideal for graduate students, researchers, and practicing engineers, Introduction to Coupled Theories in Solid Mechanics serves as both an introduction to the field and a foundational resource for buil

The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.

The contemporary landscape of transnational political economy is dominated by networks. Public and private networks, and networks that combine public and private actors, cross borders, exert regulatory power and their activities often harm third parties. However, tort law as a traditional source of remediation for third party harms appears impotent when faced with the problem of regulating the 'society of networks'. This book, using a systems theory framework, retraces the emergence of tort law in modernity and highlights how two models of normative ascription - personal responsibility and organizational liability - have come to shape existing tort law's ambivalence towards network phenomena. This book breaks new ground by leaving behind the national law 'frame of reference', drawing on the conceptual promise of EU law to develop a concept of 'network responsibility' for a network society and lays the foundations of a tort law for the 21st century.

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

An accessible introduction to the study of language in the brain, covering language processing, language acquisition, literacy, and language disorders.Neurolinguistics, the study of language in the brain, describes the anatomical structures (networks of neurons in the brain) and physiological processes (ways for these networks to be active) that allow humans to learn and use one or more languages. It draws on neuroscience, linguistics―particularly theoretical linguistics―and other disciplines. In this volume in the MIT Press Essential Knowledge series, Giosuè Baggio offers an accessible introduction to the fundamentals of neurolinguistics, covering language processing, language acquisition, literacy, and speech and language disorders. Baggio first surveys the evolution of the field, describing discoveries by Paul Broca, Carl Wernicke, Noam Chomsky, and others. He discusses mapping language in “brain time” and “brain space” and the constraints of neurolinguistic models. Considering la

Neural prosthetics are systems or devices connected to the brain that can restore damaged or lost sensory, motor, and cognitive functions. This book explores the neuroscientific and philosophical imp

Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'.

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

This book provides in-depth knowledge of VLSI and also the broad aspects of it by explaining its applications in different fields e.g. image processing and biomedical. The role of fault simulation alg

Drawing on neuroscientific research and metacognitive theory, this ground-breaking volume examines the theoretical implications that are elicited when neural correlates of consciousness (NCC) are iden

Drawing on neuroscientific research and metacognitive theory, this ground-breaking volume examines the theoretical implications that are elicited when neural correlates of consciousness (NCC) are iden

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion an

Neural Stem Cells and Adult Neurogenesis provides graduate students and neuroscientists with a basic understanding of what neural stem cells are and the cell types they produce. This early graduate le

This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional s

G-Protein-Coupled Receptors, Part B, 2nd Edition, Volume 149, the latest release in the Methods in Cell Biology series, continues the legacy of this premier serial with quality chapters authored by le

Creative Nightscapes and Time-Lapses is your all-in-one guide to making spectacular, multi-image nightscapes and time-lapses. Covering everything from conceptualization and planning to post-processing

This book systemically describes the mechanisms underlying the neural regulation of metabolism. Metabolic diseases, including obesity and its associated conditions, currently affect more than 500 mill

Creative Nightscapes and Time-Lapses is your all-in-one guide to making spectacular, multi-image nightscapes and time-lapses. Covering everything from conceptualization and planning to post-processing