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Trees of the brain, roots of the mind
"The human brain is often described as the most complex object in the universe. Tens of billions of nerve cells-tiny tree-like structures--make up a massive network with enormous computational power. In this book, Giorgio Ascoli reveals another aspect of the human brain: the stunning beauty of its cellular form. Doing so, he makes a provocative claim about the mind-brain relationship. If each n…
- Edition
- -
- ISBN/ISSN
- 9780262329026
- Collation
- 1 online resource (xiv, 232 pages) :illustrations
- Series Title
- -
- Call Number
- -
Fundamentals of neural network modeling : neuropsychology and cognitive neuro…
Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists…
- Edition
- -
- ISBN/ISSN
- 0585108358
- Collation
- 1 online resource (xiii, 428 pages) : illustrations.
- Series Title
- -
- Call Number
- 001 FUN
The Anatomy of Bias: How Neural Circuits Weigh the Options
In this engaging, even lyrical, book, Jan Lauwereyns examines the neural underpinnings of decision-making, using 'bias' as his core concept rather than the more common but noncommittal terms 'selection' and 'attention'.OCLC-licensed vendor bibliographic record.
- Edition
- -
- ISBN/ISSN
- 9780262277990
- Collation
- 1 online resource (xviii, 262 pages) :illustrations
- Series Title
- -
- Call Number
- -
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
- -
Visual Cortex and Deep Networks: Learning Invariant Representations
A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development and applications.The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models that are increasingly faithful to the biological architecture. Recently, …
- Edition
- -
- ISBN/ISSN
- 9780262336710
- Collation
- 1 online resource (xiv, 118 pages) :illustrations.
- Series Title
- -
- 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
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