The Making of a Neuromorphic Visual System

1: Seeing: Blazing Processing Characteristics1.1 An Infinite Reservoir of Information1.2 Speed 1.3 Illusions1.4 Recognition Evolvement1.5 Basic-Level Categorization1.6 Memory Capacity and Access1.7 Summary2: Category Representation and Recognition Evolvement2.1 Structural Variability Independence2.2 Viewpoint Independence2.3 Representation and Evolvement2.4 Recapitulation2.5 Refining the Primary Engineering Goal3: Neuroscientific Inspiration3.1 Hierarchy and Models3.2 Criticism and Variants3.3 Speed3.4 Alternative ’Codes’3.5 Alternative Shape Recognition3.6 Insight from Cases of Visual Agnosia3 7 Neuronal Level3.8 Recapitulation and Conclusion4: Neuromorphic Tools4.1 The Transistor4.2 A Synaptic Circuit4.3 Dendritic Compartments4.4 An Integrate-and-Fire Neuron4.5 A Silicon Cortex4.6 Fabrication Vagrancies require Simplest Models4.7 Recapitulation5: Insight From Line Drawings Studies5.1 A Representation with Polygons 5.2 A Representation with Polygons and their Context5.3 Recapitulation6: 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 Recapitulation7: The Symmetric-Axis Transform 7.1 The Transform 7.2 Architecture 7.3 Performance 7.4 SAT Variants 7.5 Fast Waves 7.6 Recapitulation8: Motion Detection8.1 Models8.2 Speed Detecting Architectures8.3 Simulation8.4 Biophysical Plausibility8.5 Recapitulation9: 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 Recognition11.1 Objects in Scenes, Scene Regularity11.2 Representation, Evolvement, Gist11.3 Scene Exploration11.4 Engineering11.5 Recapitulation12: Summary12.1 The Quest for Efficient Representation and Evolvement12.2 Contour Extraction and Grouping12.3 Neuroscientific Inspiration12.4 Neuromorphic Implementation12.5 Future ApproachTerminologyReferences IndexKeywordsAbbreviations