
audiobook
SELF-ORGANIZING SYSTEMS1963
FOREWORD
The Ionic Hypothesis and Neuron Models
Fields and Waves in ExcitableCellular Structures
Multi-Layer Learning Networks
Adaptive Detection of Unknown Binary Waveforms
Conceptual Design of Self-Organizing Machines
A Topological Foundation for Self-Organization
On Functional Neuron Modeling
Selection of Parameters for Neural Net Simulations
This collection captures a moment when researchers first gathered to explore how systems could organize themselves without external direction. Held at Caltech in November 1963, the symposium brought together engineers, physicists, and biologists to discuss ideas that were then on the fringe of mainstream science. The papers present the early theories and experimental work that laid the groundwork for today’s autonomous and adaptive technologies.
Readers will encounter a variety of approaches, from electronic analogues of Hodgkin‑Huxley neuron models and studies of waves in excitable cellular structures to multi‑layer learning networks and strategies for detecting unknown binary waveforms. There are also forward‑looking designs for self‑organizing machines and a topological framework that seeks to formalize the phenomenon itself. Though rooted in the scientific language of the 1960s, the discussions reveal a spirit of curiosity and experimentation that still resonates with modern listeners.
Language
en
Duration
~2 hours (141K characters)
Publisher of text edition
Project Gutenberg
Credits
Mark C. Orton and the Online Distributed Proofreading Team at https://www.pgdp.net
Release date
2021-09-13
Rights
Public domain in the USA.
Subjects

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