Description |
1 online resource (xii, 371 pages) : illustrations (some color) |
Physical Medium |
polychrome |
Description |
text file |
Bibliography |
Includes bibliographical references (pages 333-364) and index. |
Contents |
Cover -- CONTENTS -- Preface -- Acknowledgement -- Chapter 1: The Brain -- How is the Brain Organized? Specificity Implies Regionalization and Specialization -- How Does the Brain Wire Itself? -- What is the 8220;computational power8221; of the brain? -- Summary -- Chapter 2: Neurons and Synapses -- How Do Neurons Communicate and Affect Our Learning and Memory? -- How Does Synaptic Plasticity Give Rise to Learning and Memory? -- Modeling the Neurons and Synapses -- Chapter 3: The Cortex Architecture -- How is the Cortex Structurally Arranged? -- Other Design Factors in the Cortex -- Computational Model of the Cortex Architecture 8212; Model After the Hierarchical Structure -- Case Study 8212; Why the Brain Can Discriminate and Recognize Pictures in a Glance -- How Does the Prefrontal Cortex Perform Decision-Making? -- Summary -- Chapter 4: Many Faces of Memories 8212; Investigating the Human Multiple Memory Systems -- Memory Systems Based on Information Storage Time -- Memory Systems Based on the Type of Information Stored -- Declarative Memory -- Semantic Memory -- Episodic Memory -- Non-Declarative Memory -- Role of Hippocampus in Memory -- Let Us Sleep Over It -- Interesting Observation of Human Memory -- Human Memory in Chronological Age -- Summary -- Chapter 5: Learning Like a Human -- How Do Humans Learn? -- How Plasticity and Stability Give Rise to Learning -- Forms of Human Learning -- Perceptual Learning -- Stimulus-Response Learning (S-R Learning) -- Computational Techniques Based on S-R Learning -- Motor Learning -- Relational Learning -- Dopamine8217;s Role in Learning -- Cognitive Learning -- Summary -- Chapter 6: Emotion and Cognition -- Introduction -- What are the Emotions? -- What is the Possible Emotional Circuitry in the Brain? -- What is Emotional State? -- How Can We Model Emotion and Cognition? -- How Do Emotions Affect Our Cognitive Abilities? -- Conclusions -- Chapter 7: Laminar Computing -- What, How, and Why Laminar Computing? -- The Neocortex has a Laminar Pattern -- Top Down, Bottom-Up, and Horizontal Interactions -- Shunting Networks -- Folded Feedback -- Complementary Properties -- The 8220;Drum-up8221; to Laminar Computing -- From Vision to Cognition -- Chapter 8: Probabilistic Computing -- Probabilistic Model of Cognitive Process -- Bayesian Networks -- Conclusions -- Chapter 9: Thinking Machine -- Can a Machine Think and Have a Mind? -- Multiple Layers of Machinery -- Multiple Intelligences -- Triarchic Theory of Intelligence -- Conceptual Blending Theory -- Commonsense Knowledge Representation -- The Wise Machine 8212; AI with Wisdom -- Summary -- Chapter 10: Modeling the Entire Brain -- Integrated Cognitive Architecture -- SOAR Architecture -- ACT-R Architecture -- ICARUS Architecture -- BDI Architecture -- Subsumption Architecture -- CLARION Architecture -- Functional Comparison of the Six Cognitive Architectures -- Conclusions -- Chapter 11: Are We There? What Can the Computer Do Today and Tomorrow? -- Data and Communication Capability -- Physical Capabilitya -- Vision Capability -- Artistic Capability -- Mental Capability -- General Task Capabilityb -- Could a Machine Pass the Turing Test? -- Chapter 12: Brain 8212; A Forest Not Totall. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Neural networks (Computer science)
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Neural networks (Computer science) |
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Artificial intelligence.
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Artificial intelligence. |
Genre/Form |
Electronic books.
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Electronic books -- Electronic books.
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Other Form: |
Print version: Ng, G.W. (Gee Wah), 1964- Brain-mind machinery. Hackensack, NJ : World Scientific, ©2009 9789812790255 (DLC) 2008046699 (OCoLC)263605578 |
ISBN |
9789812790262 (electronic book) |
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9812790268 (electronic book) |
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9789812790255 (hardcover ; alkaline paper) |
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981279025X (hardcover ; alkaline paper) |
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