Project Gutenberg 2021-09-13 Public domain in the USA. 206 Garvey, James Emmett 1917 66061126 Self-Organizing Systems, 1963 The papers appearing in this volume were presented at a Symposium on Self-Organizing Systems, which was sponsored by the Office of Naval Research and held at the California Institute of Technology, Pasadena, California, on 14 November 1963. Foreword -- The ionic hypothesis and neuron models, by E. R. Lewis -- Fields and waves in excitable cellular structures, by R. M. Stewart -- Multi-layer learning networks, by R. A. Stafford -- Adaptive detection of unknown binary waveforms, by J. J. Spilker, Jr. -- Conceptual design of self-organizing machines, by P. A. Kleyn -- A topological foundation for self-organization, by R. I. Ścibor-Marchocki -- On functional neuron modeling, by C. E. Hendrix -- Selection of parameters for neural net simulations, by R. K. Overton -- Index of invited participants. Mark C. Orton and the Online Distributed Proofreading Team at https://www.pgdp.net "Self-Organizing Systems" edited by James Emmett Garvey is a scientific publication written in the early 1960s. This work compiles papers presented at a symposium focusing on emerging research in self-organizing systems, particularly in relation to neural modeling and electrical behavior in biological systems. The book explores various approaches and methodologies in the field, including the Ionic Hypothesis, neuron models, and adaptive learning networks. The opening of the book introduces the foreword by Garvey, which outlines the symposium's objectives and emphasizes the relevance of the collected papers to a broader scientific audience. The text highlights the significance of self-organization as a concept in understanding complex systems, particularly in relation to biological processes. It sets the stage for the subsequent papers, focusing first on the Ionic Hypothesis and neuron models, which discuss the behavior and modeling of neurons, based on empirical data and theoretical frameworks developed by early scientists. The introduction paves the way for a deeper inquiry into the principles of self-organization in both biological and artificial systems. (This is an automatically generated summary.) Reading ease score: 43.0 (College-level). Difficult to read. en Self-organizing systems Q Text Category: Science - Biology Category: Psychiatry/Psychology Category: Reports & Conference Proceedings 239203 2025-09-26T08:16:12.523187 text/html 216275 2024-10-18T16:06:19 text/html 2366704 2025-09-26T08:16:18.097136 application/epub+zip 2363992 2025-09-26T08:16:13.809163 application/epub+zip 155701 2025-09-26T08:16:13.130179 application/epub+zip 2433209 2025-09-26T08:16:21.276117 application/x-mobipocket-ebook 2409144 2025-09-26T08:16:17.492129 application/x-mobipocket-ebook 207092 2022-09-29T19:44:44.636494 application/x-mobipocket-ebook 177035 2025-09-26T08:16:11.773174 text/plain; charset=us-ascii 157206 2024-10-18T16:06:19 text/plain; charset=us-ascii 16948 2025-09-26T08:16:21.418083 application/rdf+xml 12901 2025-09-26T08:16:13.246175 image/jpeg 2131 2025-09-26T08:16:13.187169 image/jpeg 2612411 2025-09-26T08:16:12.650155 application/octet-stream application/zip Archives containing the RDF files for *all* our books can be downloaded at https://book.klll.cc/wiki/Gutenberg:Feeds#The_Complete_Project_Gutenberg_Catalog