Theoretical Mechanics of Biological Neural Networks
- 1st Edition - December 2, 2012
- Latest edition
- Author: Ronald J. MacGregor
- Language: English
Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in sin… Read more
Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes. Listings of representative computer programs simulating arbitrary neurons, and local and composite neural networks are included.
- Develops a theory of dynamic similarity for characterising the firing rate sensitivites of neurons in terms of their characteristic anatomical and physiological parameters
- Presents the sequential configuration theory - a theoretical presentation of coordinated firing patterns in entire neural population
- Presents the outlines of mechanics for multiple interacting networks in composite systems
Researchers in neural networks/computational neuroscience, bioengineering, artificial intelligence, computer science, and cognitive science.
Preface
I. Theoretical Mechanics of Neuroelectric Signalling.
II. Dynamic Similarity Theory of Neuronal Firing.
III. Coordinated Dynamic Firing Patterns in Local Networks.
IV. Theoretical Mechanics of Composite Neural Networks.
Afterward
Appendix
Index
I. Theoretical Mechanics of Neuroelectric Signalling.
II. Dynamic Similarity Theory of Neuronal Firing.
III. Coordinated Dynamic Firing Patterns in Local Networks.
IV. Theoretical Mechanics of Composite Neural Networks.
Afterward
Appendix
Index
- Edition: 1
- Latest edition
- Published: December 2, 2012
- Language: English
RM
Ronald J. MacGregor
Affiliations and expertise
University of ColoradoRead Theoretical Mechanics of Biological Neural Networks on ScienceDirect