Principles of Neurodynamics: Perceptrons and the Theory of Brain MechanismsPart I attempts to review the background, basic sources of data, concepts, and methodology to be employed in the study of perceptrons. In Chapter 2, a brief review of the main alternative approaches to the development of brain models is presented. Chapter 3 considers the physiological and psychological criteria for a suitable model, and attempts to evaluate the empirical evidence which is available on several important issues. Chapter 4 contains basic definitions and some of the notation to be used in later sections are presented. Parts II and III are devoted to a summary of the established theoretical results obtained to date. Part II (Chapters 5 through 14) deals with the theory of three-layer series-coupled perceptrons, on which most work has been done to date. Part III (Chapters 15 through 20) deals with the theory of multi-layer and cross-coupled perceptrons. Part IV is concerned with more speculative models and problems for future analysis. Of necessity, the final chapters become increasingly heuristic in character, as the theory of perceptrons is not yet complete, and new possibilities are continually coming to light. (Author). |
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A-set A-units responding active analysis analyzed association assumed binomial model brain model Chapter components configuration considered cross-coupled perceptron cross-coupled system curve discrimination experiments disjoint distribution elementary perceptron employed environment equal equation error correction procedure excitatory expected value Figure finite four-layer G-matrix given inhibitory connections initial input connections input signals intersection layer learning matrix negative class neurons normal distribution obtained occur organization orthant output parameters performance phase space phonemes Poisson model positive class possible preconditioning sequence probability problem Q-functions random random variable reinforcement response function retina retinal field S-controlled S₁ S₂ sensory sensory units set of A-units shown similarity simple perceptron solution exists specific square stimulus sequence tend terminal test stimulus theorem three-layer threshold training sequence transformation transformation group transmission function unbounded system units variable vector Venn diagram vertical bars visual zero