Perceptrons
On the convergence of reinforcement procedures in simple perceptrons
Report VG-1196-G-4, Cornell Aeronautical Laboratory.
Two theorems of statistical seperability in the Perceptron
Frank Rosenblatt, born in New Rochelle, New York, U.S.A., July 11, 1928, graduated from Cornell University in 1950, and received a PhD degree in psychology, from the same university, in 1956. He was engaged in research on schizophrenia, as a Fellow of the U.S. Public Health Service, 1951-1953. He has made contributions to techniques of multivariate analysis, psychopathology, information processing and control systems, and physiological brain models. He is currently a Research Psychologist at the Cornell Aeronautical Laboratory, Inc., in Buffalo, New York, where he Is Project Engineer responsible for Project PARA (Perceiving and Recognizing Automaton). FRANK ROSENBLATT SUMMARY A THEORETICAL brain model, the perceptron, has been developed at the Cornell Aeronautical Laboratory, In Buffalo, New York. The perceptron is a probabilistic system, capable of learning to recognize and differentiate stimuli in its environment. Previous reports have covered the theory of a class of perceptrons ...
The Perceptron: A Theory of Statistical Separability in Cognitive Systems
Report VG-1196-G-1, Cornell Aeronautical Laboratory, Buffalo, NY
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain
Psychological Review, Vol. 65, pp. 386 ff.