Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms

A-units activity actual analysis appears applied approach association assumed bars becomes behavior biological brain model cell Chapter classification complex connections considered consists correction procedure corresponding cross-coupled defined DEFINITION depends detailed determine discrimination distribution effect elementary employed environment equal equation error example excitatory exists expected experiments field Figure finite fixed function given increase indicate inhibitory initial input interest layer learning logical means mechanisms memory negative neurons Note object obtained occur organization origin output particular patterns perception perceptron performance positive possible present probability problem properties psychological random recognition reinforcement relations remains represented response retina selected sensory sequence shown shows signal similarity simple solution specific square stimuli structure studies sufficient tend terminal theorem threshold transformation units variable vector zero