The Making of a Neuromorphic Visual System - Softcover

Inhaltsangabe

1: Seeing: Blazing Processing Characteristics 1.1 An Infinite Reservoir of Information 1.2 Speed 1.3 Illusions 1.4 Recognition Evolvement 1.5 Basic-Level Categorization 1.6 Memory Capacity and Access 1.7 Summary 2: Category Representation and Recognition Evolvement 2.1 Structural Variability Independence 2.2 Viewpoint Independence 2.3 Representation and Evolvement 2.4 Recapitulation 2.5 Refining the Primary Engineering Goal 3: Neuroscientific Inspiration 3.1 Hierarchy and Models 3.2 Criticism and Variants 3.3 Speed 3.4 Alternative 'Codes' 3.5 Alternative Shape Recognition 3.6 Insight from Cases of Visual Agnosia 3 7 Neuronal Level 3.8 Recapitulation and Conclusion 4: Neuromorphic Tools 4.1 The Transistor 4.2 A Synaptic Circuit 4.3 Dendritic Compartments 4.4 An Integrate-and-Fire Neuron 4.5 A Silicon Cortex 4.6 Fabrication Vagrancies require Simplest Models 4.7 Recapitulation 5: Insight From Line Drawings Studies 5.1 A Representation with Polygons 5.2 A Representation with Polygons and their Context 5.3 Recapitulation 6: Retina Circuits Signaling and Propagating Contours 6.1 The Input: a Luminance Landscape 6.2 Spatial Analysis in the Real Retina 6.3 The Propagation Map 6.4 Signaling Contours in Gray-Scale Images 6.5 Recapitulation 7: The Symmetric-Axis Transform 7.1 The Transform 7.2 Architecture 7.3 Performance 7.4 SAT Variants 7.5 Fast Waves 7.6 Recapitulation 8: Motion Detection 8.1 Models 8.2 Speed Detecting Architectures 8.3 Simulation 8.4 Biophysical Plausibility 8.5 Recapitulation 9: Neuromorphic Architectures: Pieces and Proposals 9.1 Integration Perspectives 9.2 Position and Size Invariance 9.3 Architecture for a Template Approach 9.4 Basic-Level Representations 9.5 Recapitulation 10: Shape Recognition with ContourPropagation Fields 10.1 The Idea of the Contour Propagation Field 10.2 Architecture 10.3 Testing 10.4 Discussion 10.5 Learning 10.6 Recapitulation 11: Scene Recognition 11.1 Objects in Scenes, Scene Regularity 11.2 Representation, Evolvement, Gist 11.3 Scene Exploration 11.4 Engineering 11.5 Recapitulation 12: Summary 12.1 The Quest for Efficient Representation and Evolvement 12.2 Contour Extraction and Grouping 12.3 Neuroscientific Inspiration 12.4 Neuromorphic Implementation 12.5 Future Approach Terminology References Index Keywords Abbreviations

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