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Analyzing Neural Time Series Data: Theory and Practice
"This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman ani…
- Edition
- -
- ISBN/ISSN
- 9780262319553
- Collation
- 1 online resource (xviii, 578 pages, 16 unnumbered pages of plates) :illustrations.
- Series Title
- -
- Call Number
- -
Elements of Artificial Neural Networks
"A Bradford book."OCLC-licensed vendor bibliographic record.
- Edition
- -
- ISBN/ISSN
- 9780262279628
- Collation
- 1 online resource (xiv, 344 pages) :illustrations.
- Series Title
- -
- Call Number
- -
Perceptrons :an introduction to computational geometry
"Reissue of the 1988 Expanded Edition with a new foreword by L?eon Bottou."The first systematic study of parallelism in computation by two pioneers in the field.Reissue of the 1988 Expanded Edition with a new foreword by Leon BottouIn 1969, ten years after the discovery of the perceptron--which showed that a machine could be taught to perform certain tasks using examples--Marvin Minsky and Seym…
- Edition
- [2017 edition].
- ISBN/ISSN
- 9780262343930
- Collation
- 1 online resource (xxiii, 292 pages) :illustrations
- Series Title
- -
- Call Number
- -
The handbook of brain theory and neural networks
"A Bradford Book.""Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines? Once again, the heart of the book is a set of almost 3…
- Edition
- 2nd ed.
- ISBN/ISSN
- 0262011972
- Collation
- 1 online resource (xvii, 1290 pages) : illustrations.
- Series Title
- -
- Call Number
- 005 HAN
Graphical models :foundations of neural computation
"A Bradford book."Graphical models use graphs to represent and manipulate joint probability distributions. They have their roots in artificial intelligence, statistics, and neural networks. The clean mathematical formalism of the graphical models framework makes it possible to understand a wide variety of network-based approaches to computation, and in particular to understand many neural netwo…
- Edition
- -
- ISBN/ISSN
- 0262291207
- Collation
- 1 online resource (xxiv, 421 pages) : illustrations
- Series Title
- Computational Neuroscience Series
- Call Number
- -
Qualitative Analysis and Control of Complex Neural Networks with Delays
Dengan berkembangnya teori neural networks, banyak model dan konsep stabilitas telah berkembang. neural networks berulang (RNN), yang dikenal karena perannya dalam memori asosiatif dan penyimpanan informasi, merupakan contoh evolusi ini. Kaitan antara neural networks tiruan (JST) dan neural networks biologis (BNN) menggarisbawahi gagasan bahwa JST, meskipun versi BNN yang disederhanakan secara …
- Edition
- 34
- ISBN/ISSN
- 978-3-662-47484-6
- Collation
- -
- Series Title
- Studies in Systems, Decision and Control
- Call Number
- 006.32 WAN q
Immunological bioinformatics
"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and…
- Edition
- -
- ISBN/ISSN
- 9780262323338
- Collation
- 1 online resource (xii, 296 pages, 24 unnumbered pages of plates) : illustrations (some color).
- Series Title
- Computational Molecular Biology
- Call Number
- 001 LUN i
Neural networks for pattern recognition
"A Bradford book.""Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nig…
- Edition
- -
- ISBN/ISSN
- 0262290936
- Collation
- 1 online resource (xvii, 413 pages) :illustrations
- Series Title
- -
- Call Number
- -
Neural network learning and expert systems
"Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.""A Bradford Book.""Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-o…
- Edition
- -
- ISBN/ISSN
- 0585040281
- Collation
- 1 online resource (xvi, 365 pages) :illustrations
- Series Title
- -
- Call Number
- -
Neural networks and natural intelligence
"A Bradford book."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." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…
- Edition
- -
- ISBN/ISSN
- 9780262315937
- Collation
- 1 online resource (xi, 637 pages) :illustrations
- Series Title
- -
- Call Number
- -
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