| Description |
1 online resource (xii, 371 pages) : illustrations (some color) |
| 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 |
| Summary |
Brain and mind continue to be a topic of enormous scientific interest. With the recent advances in measuring instruments such as two-photon laser scanning microscopy and fMRI, the neuronal connectivity and circuitry of how the brain's various regions are hierarchically interconnected and organized are better understood now than ever before. By reverse engineering the brain, computer scientists hope to build cognitively intelligent systems that will revolutionize the artificial intelligence paradigm. Brain-Mind Machinery provides a walkthrough to the world of brain-inspired computing and mind-related questions. Bringing together diverse viewpoints and expertise from multidisciplinary communities, the book explores the human quest to build a thinking machine with human-like capabilities. Readers will acquire a first-hand understanding of the brain and mind mechanisms and machineries, as well as how much we have progressed in and how far we are from building a truly general intelligent system like the human brain |
| Bibliography |
Includes bibliographical references (pages 333-364) and index |
| Notes |
Print version record |
| Subject |
Neural networks (Computer science)
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Artificial intelligence.
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artificial intelligence.
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COMPUTERS -- Neural Networks.
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Artificial intelligence
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Neural networks (Computer science)
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| Form |
Electronic book
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| ISBN |
9789812790262 |
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9812790268 |
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