Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages ix-xii
Chapter 1 - Introduction to a Theoretical Mechanics of Neural Networks, Pages 1-7
Chapter 2 - Introduction to the Mechanics of Neuroelectric Signalling, Pages 11-28
Chapter 3 - Physical Foundations of Neuroelectrical Signalling: Transmembrane Ionic Balances and Fluxes, Pages 29-43
Chapter 4 - The Membrane Equation and its Equivalent Circuit as the Central Governing Equation for Neuroelectric Signals, Pages 45-58
Chapter 5 - The Membrane Equation in Space: The Mechanics of Neurons with Dendrites, Pages 59-84
Chapter 6 - The Membrane Equation in Time: The Generation of Synaptic and Action Potentials, Pages 85-108
Chapter 7 - Computational Representation of Neuroelectric Signalling, Pages 109-140
Chapter 8 - An Overview of the Dynamic Similarity Approach to Neuronal Firing Levels, Pages 143-152
Chapter 9 - Parametric Characterization of Neuronal Firing: General Mathematical Formulation, Pages 153-166
Chapter 10 - Parametric Characterization of Neuronal Firing with Spatially Distributed Input, Pages 167-177
Chapter 11 - Universal Firing Rate Transfer Curve for Temporally Regular Input, Pages 179-189
Chapter 12 - Universal Firing Rate Transfer Curve for Randomly Temporally Irregular Input, Pages 191-201
Chapter 13 - Introduction to Coordinated Firing Patterns in Neural Networks, Pages 205-210
Chapter 14 - The Sequential Configuration Model for Firing Patterns in Neural Networks, Pages 211-234
Chapter 15 - Properties of Unorganized Activity in Recurrently Connected Networks, Pages 235-249
Chapter 16 - Memory Capacity in Recurrently Connected Networks, Pages 251-272
Chapter 17 - Toward a Mechanics of Composite Neural Networks and Synaptic Junctions, Pages 275-288
Chapter 18 - A Theory of Representation and Embedding of Memory Traces in Hippocampal Networks, Pages 289-300
Chapter 19 - Composite Cortical Networks as Systems of Multimodal Oscillators, Pages 301-319
Chapter 20 - Contextual Overview of Organization in Cortical Networks, Pages 321-336
Chapter 21 - Broad Principles of Systemic Operations in Nervous Systems, Pages 337-349
Afterword, Pages 351-358
Appendix, Pages 359-373
INDEX, Pages 375-377
NEURAL NETWORKS: FOUNDATIONS TO APPLICATIONS, Page 379