SELF-ORGANIZING SYSTEMS
1963

Edited By

JAMES EMMETT GARVEY

Office of Naval Research
Pasadena, California

ACR-96

OFFICE OF NAVAL RESEARCH
DEPARTMENT OF THE NAVY
WASHINGTON, D.C.

For sale by the Superintendent of Documents.
U.S. Government Printing Office
Washington, D.C., 20402—Price $1.50


CONTENTS

Forewordiv
The Ionic Hypothesis and Neuron Models 1
—E. R. Lewis 
Fields and Waves in Excitable Cellular Structures19
—R. M. Stewart 
Multi-Layer Learning Networks37
—R. A. Stafford 
Adaptive Detection of Unknown Binary Waveforms  46
—J. J. Spilker, Jr. 
Conceptual Design of Self-Organizing Machines52
—P. A. Kleyn 
A Topological Foundation for Self-Organization65
—R. I. Ścibor-Marchocki 
On Functional Neuron Modeling71
—C. E. Hendrix 
Selection of Parameters for Neural Net Simulations76
—R. K. Overton 
Index of Invited Participants77

[Pg iv]

FOREWORD

The papers appearing in this volume were presented at a Symposiumon Self-Organizing Systems, which was sponsored by the Office ofNaval Research and held at the California Institute of Technology,Pasadena, California, on 14 November 1963. The Symposium was organizedwith the aim of providing a critical forum for the presentation anddiscussion of contemporary significant research efforts, with theemphasis on relatively uncommon approaches and methods in an earlystate of development. This aim and nature dictated that the Symposiumbe in effect a Working Group, with numerically limited invitationalparticipation.

The papers which were presented and discussed did in fact serveto introduce several relatively unknown approaches; some of thespeakers were promising young scientists, others had become known forcontributions in different fields and were as yet unrecognized fortheir recent work in self-organization. In addition, the papers as a

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