Toward A Predictive Theory Of Neural Computation
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Toward A Predictive Theory Of Neural Computation
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Author : Marc Potters
language : en
Publisher: Ann Arbor, Mich. : University Microfilms International
Release Date : 1994
Toward A Predictive Theory Of Neural Computation written by Marc Potters and has been published by Ann Arbor, Mich. : University Microfilms International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Attention And Time
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Author : Kia Nobre
language : en
Publisher:
Release Date : 2010
Attention And Time written by Kia Nobre and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Medical categories.
Our ability to attend selectively to our surroundings - taking notice of the things that matter, and ignoring those that don't - is crucial if we are to negotiate the world around us in an efficient manner. Several aspects of the temporal dimension turn out to be critical in determining how we can put together and select the events that are important to us as they themselves unfold over time. For example, we often miss events that happen while we are occupied perceiving or responding to another stimulus. On the other hand, temporal regularity between events can also greatly improve our perception. In addition, our perception of the passage of time itself can also be distorted as while we are performing actions or paying attention to different aspects of the environment. Surprisingly, this fascinating and fundamental interplay between ' attention' and 'time' has been relatively neglected in the psychology and neuroscience literatures until very recently. Attention & Time is the first book to address this foundational topic, bringing together several intriguing and hitherto fragmented findings into a compelling and cohesive field of enquiry. The book contains thirty-one critical-review chapters from internationally recognised experts in the field, carefully organised into three stand-alone, yet extensively cross-referenced, themed sections. Each section focuses on distinct ways in which attention and time influence one another. These sections, each encompassing a range of methodologies from classical cognitive psychology to single-cell neurophysiology, provide functionally unifying frameworks to help guide the reader through the many various experimental and theoretical approaches adopted. Section 1 considers variations of attention across time, and explores how attentional allocation is limited by very short or very long intervals of time. Section 2 describes several types of temporal illusion, illustrating how attention can modulate the perception of the passage of time itself. "A watched pot never boils" and, conversely, "time flies when you're having fun" nicely capture the experimental observation that the degree of attention allocated to stimulus timing contributes to its subjective duration. Finally, Section 3 examines how attention can be directed in time, to predictable or expected moments in time, so as to optimise behaviour. Bringing conceptually discrete, yet functionally related, fields of temporal attention research together within a single volume, this book provides a comprehensive overview that will be of value to the interested novice in cognitive neuroscience, whilst also inspiring experts in the field to make, perhaps previously overlooked, links with their own field of research.
Natural Artificial Parallel Computation
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Author : David L. Waltz
language : en
Publisher: SIAM
Release Date : 1996-01-01
Natural Artificial Parallel Computation written by David L. Waltz and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-01 with Computers categories.
The volume begins with processing in biological organisms, moves through interactions between processing in biology and computer science, and ends with massively parallel computing. It contains articles by scientists exploring the modeling of biological systems on computers and computer designers interested in exploiting massive numbers of computing elements in parallel.
Artificial Intelligence And Neural Networks
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Author : Vasant Honavar
language : en
Publisher:
Release Date : 1994
Artificial Intelligence And Neural Networks written by Vasant Honavar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
A growing body of research focuses on how the strengths of traditional artificial intelligence and neural networks can be incorporated into systems that include the best features of both. Artificial Intelligence and Neural Networks: Steps toward Principled Integration provides readers with a critical examination of the key issues, underlying assumptions, and relevant suggestions related to the reconciliation and principled integration of artificial intelligence and neural networks into successful hybrid systems. A comprehensive introduction to the basics of symbol processing and connectionist networks, and their integration gives readers the necessary background to understand each network system. Numerous examples of the integration of artificial and neural networks for a variety of specific applications, including vision and pattern recognition, illustrate the exciting possibilities and actualities of the resultant hybrid systems. With contribution from some of the leading researchers in the field, this book offers a unique view into this evolving area. -- Back cover.
Learning Deep Learning
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Author : Magnus Ekman
language : en
Publisher: Addison-Wesley Professional
Release Date : 2021-07-19
Learning Deep Learning written by Magnus Ekman and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Neuropsychopharmacotherapy
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Author : Peter Riederer
language : en
Publisher: Springer Nature
Release Date : 2022-11-04
Neuropsychopharmacotherapy written by Peter Riederer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-04 with Medical categories.
This book provides a reference guide describing the current status of medication in all major psychiatric and neurological indications, together with comparisons of pharmacological treatment strategies in clinical settings in Europe, USA, Japan and China. In addition, it highlights herbal medicine as used in China and Japan, as well as complementary medicine and nutritional aspects. This novel approach offers international readers a global approach in a single dedicated publication and is also a valuable resource for anyone interested in comparing treatments for psychiatric disorders in three different cultural areas. There are three volumes devoted to Basic Principles and General Aspects, offering a general overview of psychopharmacotherapy (Vol. 1); Classes, Drugs and Special Aspects covering the role of psychotropic drugs in the field of psychiatry and neurology (Vol. 2) and Applied Psychopharmacotherapy focusing on applied psychopharmacotherapy (Vol. 3). These books are invaluable to psychiatrists, neurologists, neuroscientists, medical practitioners and clinical psychologists.
Towards Neuroscience Inspired Intelligent Computing Theory Methods And Applications
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Author : Di Wu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-03
Towards Neuroscience Inspired Intelligent Computing Theory Methods And Applications written by Di Wu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-03 with Science categories.
Towards Hybrid And Adaptive Computing
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Author : Anupam Shukla
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-17
Towards Hybrid And Adaptive Computing written by Anupam Shukla and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-17 with Computers categories.
Soft Computing today is a very vast field whose extent is beyond measure. This book offers a well structured presentation of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms.
Evolutionary Computation
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Author : David B. Fogel
language : en
Publisher: John Wiley & Sons
Release Date : 2006-01-03
Evolutionary Computation written by David B. Fogel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-03 with Technology & Engineering categories.
This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook.
Handbook Of Neural Computation
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Author : Pijush Samui
language : en
Publisher: Academic Press
Release Date : 2017-07-18
Handbook Of Neural Computation written by Pijush Samui and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-18 with Technology & Engineering categories.
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods