Brain-mind machinery: brain-inspired computing and mind opening
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, NJ
World Scientific
©2009
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references (pages 333-364) and index 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 |
| Beschreibung: | 1 Online-Ressource (xii, 371 pages) |
| ISBN: | 9789812790262 9812790268 |
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| 500 | |a Includes bibliographical references (pages 333-364) and index | ||
| 500 | |a 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 -- | ||
| 500 | |a - 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 -- | ||
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| 500 | |a - 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 | ||
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Ng, G. W., (Gee Wah) |
| author_facet | Ng, G. W., (Gee Wah) |
| author_role | aut |
| author_sort | Ng, G. W., (Gee Wah) |
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| dewey-full | 006.3/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/2 |
| dewey-search | 006.3/2 |
| dewey-sort | 16.3 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV043073783 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:37Z |
| institution | BVB |
| isbn | 9789812790262 9812790268 |
| language | English |
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| physical | 1 Online-Ressource (xii, 371 pages) |
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| spelling | Ng, G. W., (Gee Wah) Verfasser aut Brain-mind machinery brain-inspired computing and mind opening Gee-Wah Ng Hackensack, NJ World Scientific ©2009 1 Online-Ressource (xii, 371 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 333-364) and index 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 COMPUTERS / Neural Networks bisacsh Artificial intelligence fast Neural networks (Computer science) fast Künstliche Intelligenz Neural networks (Computer science) Artificial intelligence Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s 1\p DE-604 Erscheint auch als Druckausgabe 978-981-279-025-5 Erscheint auch als Druckausgabe 981-279-025-X http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=305161 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ng, G. W., (Gee Wah) Brain-mind machinery brain-inspired computing and mind opening COMPUTERS / Neural Networks bisacsh Artificial intelligence fast Neural networks (Computer science) fast Künstliche Intelligenz Neural networks (Computer science) Artificial intelligence Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 |
| title | Brain-mind machinery brain-inspired computing and mind opening |
| title_auth | Brain-mind machinery brain-inspired computing and mind opening |
| title_exact_search | Brain-mind machinery brain-inspired computing and mind opening |
| title_full | Brain-mind machinery brain-inspired computing and mind opening Gee-Wah Ng |
| title_fullStr | Brain-mind machinery brain-inspired computing and mind opening Gee-Wah Ng |
| title_full_unstemmed | Brain-mind machinery brain-inspired computing and mind opening Gee-Wah Ng |
| title_short | Brain-mind machinery |
| title_sort | brain mind machinery brain inspired computing and mind opening |
| title_sub | brain-inspired computing and mind opening |
| topic | COMPUTERS / Neural Networks bisacsh Artificial intelligence fast Neural networks (Computer science) fast Künstliche Intelligenz Neural networks (Computer science) Artificial intelligence Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | COMPUTERS / Neural Networks Artificial intelligence Neural networks (Computer science) Künstliche Intelligenz Neuronales Netz |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=305161 |
| work_keys_str_mv | AT nggwgeewah brainmindmachinerybraininspiredcomputingandmindopening |