Prologue.- The Difficulty of Modelling Artificial Brains.- Information Processing in Nets with Constant Synapses.- Theory of Nets with Constant or Dynamic Synapses.- Macro-Dynamics of Nets with Constant Synapses.- Information Processing with Dynamic Synapses.- Nets for Feature Detection.- Nets for Feature Recognition.- Nets for Robust Head Detection.- Extensions of the Vision Architecture.- Look-out.- Preliminary Considerations on the Microelectronic Implementation.- Elementary Circuits for Neurons, Synapses, and Photosensors.- Simulation of Microelectronic Neural Circuits and Systems.- Architecture and Chip Design of the Feature Recognizer.- Architecture and Chip Design of the Feature Detector.- 3D Stacking Technology.- Architecture of First Generation Vision Cube.- End.
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