Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Human Memory Modeled with Standard Analog and Digital Circuits

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Burger, John Robert 作者
譯者
2009-7 出版日期
366 頁數
1335.00元 價格
叢書系列
9780470424353 圖書編碼

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Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Human Memory Modeled with Standard Analog and Digital Circuits 在線電子書 圖書描述

Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself. It encourages invention via the methodical study of brain theory, including electrically reversible neurons, neural networks, associative memory systems within the brain, neural state machines within associative memory, and reversible computers in general. These models use standard analog and digital circuits that, in contrast to models that include non-physical components, may be applied directly toward the goal of constructing a machine with artificial intelligence based on patterns of the brain. Writing from the circuits and systems perspective, the author reaches across specialized disciplines including neuroscience, psychology, and physics to achieve uncommon coverage of: Neural membranes Neural pulses and neural memory Circuits and systems for memorizing and recalling Dendritic processing and human learning Artificial learning in artificial neural networks The asset of reversibility in man and machine Electrically reversible nanoprocessors Reversible arithmetic Hamiltonian circuit finders Quantum versus classical Each chapter introduces and develops new material and ends with exercises for readers to put their skills into practice. Appendices are provided for non-experts who want a quick overview of brain anatomy, brain psychology, and brain scanning. The nature of this book, with its summaries of major bodies of knowledge, makes it a most valuable reference for professionals, researchers, and students with career goals in artificial intelligence, intelligent systems, neural networks, computer architecture, and neuroscience. A solutions manual is available for instructors; to obtain a copy please email the editorial department at ialine@wiley.com.

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