Self-Organizing
Self-Organizing Systems, 1963
作者：Garvey, James Emmett, 1917- [Editor]
体例：题 章数：92
字数：122,461 来源：Project Gutenberg
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cache/epub/66286/pg66286.txt（Project Gutenberg）
章节目录
共 92 题- CONTENTS
- Foreword iv
- Index of Invited Participants 77
- FOREWORD
- The Ionic Hypothesis and Neuron Models
- E. R. LEWIS
- INTRODUCTION
- SUBTHRESHOLD ELECTRICAL ACTIVITY IN NEURONS
- Figure 2—Idealized postsynaptic potentials]
- Figure 3—Idealized pacemaker potentials]
- Figure 4—Graded response]
- 3. Graded Response (rate sensitive)
- 4. Spike Initiation
- THE MODERN IONIC HYPOTHESIS
- ELECTRONIC SIMULATION OF THE HODGKIN-HUXLEY MODEL
- REFERENCES
- Fields and Waves in Excitable Cellular Structures
- R. M. STEWART
- J. Z. Young (24)
- INTRODUCTION
- SOME CONTEMPORARY CONCEPTS
- 1. Cellular Structure
- 2. Short-Term Memory
- 3. The Synapse
- 4. Inhibition
- 5. Long-Term Memory
- 6. Field Effects and Learning
- EXPERIMENTAL TECHNIQUE
- BASIC EXPERIMENTS
- 1. Cellular Structure
- 2. Regenerative Loops
- 3. Strong Coupling
- 4. Inhibitory Coupling
- 5. Dendrite Growth
- 6. Field Effects in Locally-Refractory Regions
- SUMMARY
- REFERENCES
- 13. Lillie, R. S., _Biol. Rev._ =16=:216 (1936)
- Multi-Layer Learning Networks
- R. A. STAFFORD
- INTRODUCTION
- SINGLE ELEMENTS
- Δc₀ = y* Δcᵢ = y*xᵢ, i = 1,2, ...,n
- NETWORKS OF ELEMENTS
- Positive Interconnecting Weights
- A Variable Bias
- Logical Redundancy in the Network
- Fatigued Elements
- NETWORK STRUCTURE
- COMPUTER SIMULATION RESULTS
- FUTURE PROBLEMS
- Adaptive Detection of Unknown Binary Waveforms
- J. J. SPILKER, JR.
- INTRODUCTION
- THE ADAPTIVE DETECTION MACHINE
- Figure 2—Binary signal with additive noise at-6 db SNR]
- Conceptual Design of Self-Organizing Machines
- P. A. KLEYN
- INTRODUCTION
- CONCEPTUAL MODEL
- Definition
- MATHEMATICAL MODEL
- W ⟶ X. (Ref. 10a)
- Consider now the SOM to be represented by the cascaded channels
- X ⟶ Y ⟶ Z
- The solution of the three channels-in-cascade problem
- W ⟶ X ⟶ Y ⟶ Z,
- MECHANIZATION OF THE NPO
- NETWORKS OF NPO’S
- CONCLUSION
- REFERENCES
- A Topological Foundation for Self-Organization
- R. I. ŚCIBOR-MARCHOCKI
- INTRODUCTION
- METRIZATION
- Information Theory
- P(X′) = ∫X′_{measurable ⊂ X} p(x)dx. (1)
- Then the information rate H is defined as
- H(X) = -∫ₓp(x) ln κ p(x)dx (2)
- Next, we define the angle Θ
- Channel
- I′ ∪ I″ = I (8)
- X = ⨂Xᵢ (11) I
- Denumerable Space
- SUMMARY
- On Functional Neuron Modeling
- C. E. HENDRIX
- REFERENCES
- Selection of Parameters for Neural Net Simulations[22]
- R. K. OVERTON
- INDEX OF INVITED PARTICIPANTS
- U.S. GOVERNMENT PRINTING OFFICE: 1966 O—205-502