Basal Ganglia Dynamics: From Motor Units to Networked Chaotic Oscillators addresses the critical need for new theoretical frameworks in understanding the basal ganglia–thalamic cortical system, particularly in the context of movement disorders such as Parkinson’s disease. Despite significant therapeutic advances, current dopamine replacement and Deep Brain Stimulation therapies remain limited due to incomplete and oversimplified prevailing theories. This reference provides a comprehensive alternative approach grounded in complexity science, nonlinear dynamics, and Chaotic Systems theory. The contents span foundational concepts, including motor unit orchestration, networked nonlinear oscillators, information theory, and methodological considerations. Detailed chapters cover the shortcomings of current models, the application of Chaotic System mathematics to basal ganglia physiology, and the implications for pathophysiology and treatment. The book also includes extensive simulations, operational hypotheses, and a rigorous critique of existing paradigms, supported by principles such as Causational and Informational Synonymy.
• Presents a novel theory embracing the complexity and nonlinearity of basal ganglia physiology
• Applies principles of Chaotic Systems to movement disorders like Parkinson’s disease
• Integrates Information theory and mathematical philosophy for new insights
• Explores motor unit orchestration with implications for neuronal control
• Provides detailed simulations and operational hypotheses for future research
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Epigraph - p. vii 8. Preface - p. xiii 9. Acknowledgements - p. xxix 10. Chapter 1 Alternatives - p. 1 11. Chapter 2 Motor unit orchestration - p. 109 12. Chapter 3 Network of weakly coupled nonlinear reentrant polysynaptic oscillators - p. 183 13. Abstract - p. 183 14. History of oscillatory neural mechanisms for behavior, but not specifically for the basal ganglia - p. 183 15. Oscillations in motor units and the basal ganglia–thalamic–cortical system - p. 184 16. Oscillators in general but carefully - p. 186 17. Anatomy - p. 200 18. Physiology - p. 210 19. Is the basal ganglia–thalamic–cortical system a physiological syncytium? - p. 262 20. Simulations - p. 284 21. Paradoxes and possible resolutions - p. 296 22. Holographic temporal recall - p. 307 23. Information dynamics through the network and the notion of duty cycle - p. 314 24. Mechanisms available to networks of weakly coupled reentrant discrete oscillators - p. 322 25. Recursion and beyond the Fourier series - p. 331 26. Involuntary movements - p. 333 27. Therapeutic implications - p. 341 28. Beyond motor control - p. 344 29. Summary - p. 346 30. Addendum—Advanced Research Projects Agency Network, Internet, packet switching, distributed processes, and the basal ganglia–thalamic–cortical system - p. 349 31. References - p. 360 32. Chapter 4 Information and dynamics - p. 375 33. Chapter 5 Nonlinear dynamics—Chaotic systems - p. 435 34. Chapter 6 Methodological and epistemological concerns - p. 531 35. Chapter 7 Not just an academic exercise - p. 589 36. Index - p. 667
Basal Ganglia Dynamics: From Motor Units to Networked Chaotic Oscillators addresses the critical need for new theoretical frameworks in understanding the basal ganglia–thalamic cortical system, particularly in the context of movement disorders such as Parkinson’s disease. Despite significant therapeutic advances, current dopamine replacement and Deep Brain Stimulation therapies remain limited due to incomplete and oversimplified prevailing theories. This reference provides a comprehensive alternative approach grounded in complexity science, nonlinear dynamics, and Chaotic Systems theory. The contents span foundational concepts, including motor unit orchestration, networked nonlinear oscillators, information theory, and methodological considerations. Detailed chapters cover the shortcomings of current models, the application of Chaotic System mathematics to basal ganglia physiology, and the implications for pathophysiology and treatment. The book also includes extensive simulations, operational hypotheses, and a rigorous critique of existing paradigms, supported by principles such as Causational and Informational Synonymy.
• Presents a novel theory embracing the complexity and nonlinearity of basal ganglia physiology
• Applies principles of Chaotic Systems to movement disorders like Parkinson’s disease
• Integrates Information theory and mathematical philosophy for new insights
• Explores motor unit orchestration with implications for neuronal control
• Provides detailed simulations and operational hypotheses for future research
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Epigraph - p. vii 8. Preface - p. xiii 9. Acknowledgements - p. xxix 10. Chapter 1 Alternatives - p. 1 11. Chapter 2 Motor unit orchestration - p. 109 12. Chapter 3 Network of weakly coupled nonlinear reentrant polysynaptic oscillators - p. 183 13. Abstract - p. 183 14. History of oscillatory neural mechanisms for behavior, but not specifically for the basal ganglia - p. 183 15. Oscillations in motor units and the basal ganglia–thalamic–cortical system - p. 184 16. Oscillators in general but carefully - p. 186 17. Anatomy - p. 200 18. Physiology - p. 210 19. Is the basal ganglia–thalamic–cortical system a physiological syncytium? - p. 262 20. Simulations - p. 284 21. Paradoxes and possible resolutions - p. 296 22. Holographic temporal recall - p. 307 23. Information dynamics through the network and the notion of duty cycle - p. 314 24. Mechanisms available to networks of weakly coupled reentrant discrete oscillators - p. 322 25. Recursion and beyond the Fourier series - p. 331 26. Involuntary movements - p. 333 27. Therapeutic implications - p. 341 28. Beyond motor control - p. 344 29. Summary - p. 346 30. Addendum—Advanced Research Projects Agency Network, Internet, packet switching, distributed processes, and the basal ganglia–thalamic–cortical system - p. 349 31. References - p. 360 32. Chapter 4 Information and dynamics - p. 375 33. Chapter 5 Nonlinear dynamics—Chaotic systems - p. 435 34. Chapter 6 Methodological and epistemological concerns - p. 531 35. Chapter 7 Not just an academic exercise - p. 589 36. Index - p. 667
