Rosenblatt, F.

Principles of neurodynamics: Perceptrons and the theory of brain mechanisms


In Chapter 2, a brief review of the main alternative approaches to the development of brain models is presented. 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.

Two theorems of statistical seperability in the Perceptron


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. SYMBOLIC LOGIC ONLY a few months before the Office of Naval Research began its support of the perceptron program, at the Cornell Aeronautical Laboratory, John von Neumann, one Of the most outstanding advocates of the proposition that man might some day achieve an artificial device working on the same principles as the human brain, wrote the following prophetic passage (re.f.4): "Logics and mathematics in the central nervous system...must structurally be essentially different from those languages to which our common experience refers... What von Neumann is saying here deserves careful consideration. Similarly, if we are ingenious enough to write a set of exact rules for minimizing the cost of some business operation, we can program a computer to minimize cost, and other such complex problems.