Chapter
8.3. Geographical Landscape of Attractors
8.4. Equation of Motion, Potential Function and Attractor Layout for the Movement ‘Jumping on Springboard’
8.5. Including the Variability of Phase and Frequency Coordination among Neuron Firing into the Equation of Motion of the Collective Variables
8.6. Geographical Landscape of Attractors
8.7. CNS Repair upon Stability Changes of Physiologic and Patho-physiologic Patterns: Improvement of Geographical Landscape of Attractors
8.8. Pattern Stability When Jumping on Springboard
8.9. Reduction of Spasticity
8.10. Quantifying CNS Function by Measuring Pattern Stability upon Pattern Change When Exercising on the Special CDT Device
8.11. Forward-backward Symmetry Impairment
8.12. Motor Pattern Diagnostic by sEMG for Updating Coordination Dynamics Therapy (CDT)
8.13. Symmetry Improvement of Motor Programs of Antagonistic Muscles by Increasing the Integrativity of Movement Learning
8.14. Learning in the Short-term Memory from the Better Opposite Side
8.15. Neural Network Learning when Exercising on the Special CDT Device
9. The Improvement of Coordinated Firing of Neurons by and for Learning
9.1. Impaired Phase and Frequency Following CNS Injury and Its Repair by Learning
9.2. Repair of the Stability of the Pattern ‘Running on Treadmill’
9.3. Neurons Work as Coincidence and Coordination Detectors to Improve Communication among Neurons
10. Re-learning of Motor Functions Quantified by Surface Electromyography (sEMG)
10.1. Co-Movement: Learning in the Short and Long-term Memory from the Better Opposite Side
10.2. Supported Walking Especially at High Speed Enhances Re-learning of Motor patterns
10.3. Anti-phase Jumping on Springboard Repairs by Learning More Efficient Motor Programs than Swinging
10.4. Symmetry Learning to Enhance the Efficiency of CNS Repairs
11. CNS Functioning Can Be Assessed Non-invasively by Measuring the Coordination Dynamics Based on the Correlation of Measurements at the Single Neuron, sEMG and Movement Levels
11.1. Plausible Explanation of Measuring CNS Functioning
11.2. Relative Phase and Frequency Coordination between the Firings of ( and (-Motoneurons and Secondary Muscle Spindle Afferents Recorded with the Single-nerve Fiber Action Potential Recording Method
11.3. Phase and Frequency Coordination between Motor Unit Firing and Building of a Motor Program with Increasing Load Recorded with Single-motor Unit sEMG When Exercising on the Special CDT Device
11.4. From sEMG Motor Programs to High-load Coordination Dynamics to Evaluate CNS Functioning upon Therapy
11.4.1. Pathologic Patterns of Motor Activation
11.4.2. Motor Pattern Stability
11.4.3. Impairment of Reciprocal Relationship of Antagonist Muscles
11.4.4. Measurements of Temporal Stability of Movement Patterns by Pattern Change
11.4.5. Impairment of Pattern Formation Is Revealed with More Integrated CNS Activation at Higher Loads
11.4.6. Increase in Temporal Instability of Movement Patterns While Exercising against High Loads
11.4.7. Exercising at High Loads Reveals Impairment in the Symmetries of CNS Organization
11.4.8. Improvement of Symmetries of CNS Organization Increased Pattern Stability
11.5. Conclusion of Measuring CNS Organization by the Relationship between Single-nerve Fiber Action Potential Patterns, sEMG Patterns and Coordination Dynamics Patterns
12. Learning and Communication via External Loops of Oscillators As a Principle of Interlacing Brain Parts for Cooperation
12.1. The Caudal Spinal Cord As a Suitable Place to Study Learning in the Human CNS
12.2. Human Neurophysiology for a Deeper Understanding of Bladder Repair by Learning
12.3. Identification of Peaks of γ-Motoneurons and Parasympathetic Fibers in Conduction Velocity Distributions on Log scale
12.4. Location and Stimulation of Receptors for Continence
12.5. Bladder Functioning at the Neuron Level
12.6. Parasympathetic Activation of the Detrusor Can Be Assessed by Parasympathetically Induced Muscle Spindle Afferent Activity
12.7. Relative Phase and Frequency Coordination between the APs of and -Motoneurons and Secondary Muscle Spindle Afferents with No Additional Stimulation and Upon Touch, Pin-prick, and Bladder Catheter Pulling
12.8. Phase Relation Changes between the Action Potentials of the ( and (-Motoneurons and Secondary Muscle Spindle Afferents in Paraplegic 9 upon Somatic and Parasympathetic Activation of the Sacral Micturition Center
12.9. The Need to Improve the Stability of Phase and Frequency Coordination to Allow Specific Pattern Formation and Learning Transfer
12.10. Phase and Frequency Coordination between Oscillatory Firing 2-Motoneurons and their Adequate Afferent Drive in Brain-Dead Human
12.11. Relative Frequency Coordination
12.12. Impaired Organization of Premotor Spinal Oscillators Following Spinal Cord Injury as an Indicator for Pathologic Network Organization
12.13. Explanation for a Spastic External Bladder Sphincter
12.14. Reduction of Spasticity of the External Bladder Sphincter
12.15. Stable Phase Coordination in the Brain-Dead Individual
12.16. Unstable Phase Coordination in the Patient with a Spinal Cord Injury
12.17. Impaired Neural Network Functioning and Learning Because of Impaired Phase Stability Following SCI
12.18. Change of the Neuronal Network Organization Following Spinal Cord Injury - Pathologic Network Organization
12.19. Re-Learning of Phase and Frequency Coordination
12.20. Learning to Improve the Recruitment of Motoneurons in the Occasional and Oscillatory Firing Mode
12.21. Building up of External Loops to the Periphery by Premotor Spinal Oscillators
12.22. Extension of the External Loop Generation of Spinal Oscillators to Non-continence Muscles
12.23. External Loop of Premotor Spinal Oscillators and Rhythmic, Dynamic Stimulation of Motor and Bladder Functions
12.24. Entrainment of Premotor Spinal Oscillator Networks by Rhythmic Movement-induced Afferent Input and Inputs from Supraspinal Centers
12.25. Stimulation of the Parasympathetic and Somatic Division via their Receptors of the Pelvic Floor and Intestine to Induce Learning Transfer from Movements to Urinary Bladder Functions for Cure
13. Stability of Premotor Spinal Network Oscillators and their Phase and Frequency Coordination
13.1. The Study of Impaired Coordination among Neurons as a Tool to Understand CNS Self-organization and Neural Network Learning
13.2. Oscillatory Firing of Motoneurons and Motor Units
13.3. Continuous Synchronization of Network Oscillators Is Pathologic
13.4. The Triggering Mechanisms of Parkinsonian Tremor and Large-scale Coordination
13.5. Synchronization and De-synchronization of FF-type Motor unit Firing with Oscillatory Firing FR-type Motor Units
13.6. Stability of (1 and (2-Motoneuron Oscillators
13.7. Transient Synchronization of Premotor Spinal Oscillator in a Patient with a Spinal Cord Injury
13.8. External Loop of Premotor Spinal Oscillators as a Cause for (1-Motoneuron Oscillators Synchronizing their Firing with (2-motoneuron Oscillators
14. Pathologic CNS Organization Caused by Impaired Phase and Frequency Coordination due to Injury or Degeneration
14.1. FR-type Motor Units Fired Rhythmically before the FF-Type Motor Units during the Generation of Tremor
14.2. Synchronization of FF-Type with Rhythmic FR-Type Motor Unit Firing
14.3. Amplitude and Duration of FF, FR and S-Type Motor Unit Potentials in Comparison to Extracellular Single-Nerve Fiber Action Potentials
14.4. Tremor and Clonus in Patients with Parkinson’s Disease and Spinal Cord Injury
14.4.1. Patients with Parkinson’s Disease and SCI to Analyze the Human Premotor Network
14.4.2. Description of Tremor and Clonus
14.5. Pathologic Motor Programs: Motor Bursts Are Structured with Tremor, Clonus, and Rhythmic Motor Unit Activity
14.6. Spontaneous (Uncontrolled) Oscillatory Firing
14.7. Uncontrolled Synchronized Firing of Motor Units in Parkinson’s Disease Patients
14.8. Motor Program Bursts in Patients with Parkinson’s Disease Structured with Tremor Activity and Motor Unit Oscillatory Activity
14.9. Motor Program Bursts in Patients Who Suffered a Spinal Cord Injury, Structured with Clonus Activation and Rhythmic Firing of FF-Type Motor Units
14.10. Oscillatory Firing of Motoneurons Originates in the Spinal Cord
14.11. Motor Bursts Structured with Rhythmic Activity
14.12. Contribution of FF and FR-Type Motor Unit Firing to the Generation of Tremor
14.13. Lack of Inhibition As One Reason for Tremor
15. Neuronal Network Learning for Repair in Parkinson’s Disease Patients
15.1. Clinical Features of Parkinson’s Disease
15.2. Learning for Repair in Parkinson’s Disease Patients
15.4. Reduction of Tremor Muscle Activity in the Short-term Memory During and after Exercising on the Special Coordination Dynamics Therapy Device
15.5. Improvement of the Motor Program
15.6. Tremor Changes in Different Muscles
15.7. Integrative Organization Mechanism to Reduce Parkinson Tremor (Learning Transfer)
15.8. The Mechanism to Specifically Enhance Inhibition to Reduce Tremor Activity in Parkinson’s Disease Patients Is to Use the Inhibiting Neurons More Efficiently through Improving Phase and Frequency Coordination by Exercising on the Special CDT Device
15.9. Neurogenesis of Inhibiting Neurons by Activating the Inhibiting Mechanism at the Limit
15.10. Integrative Repair Mechanism to Improve CNS Functioning in General
15.11. The Necessity of Improving the Coordinated Firing of CNS Neurons in Any Case
15.12. The Rationale of Measuring Coordination Dynamics in Patients with Parkinson’s Disease
16. Learning Enhancement by Including Vision, Hearing and Speech Concurrent with Exercising on the Special CDT Device
16.1. Efficiency of Neural Network Learning
16.2. Enhanced Learning When Combining the Exercising on the Special CDT Device with Speech Therapy
16.3. Increase of the Integrativity of Coordinated CNS Activation by Including Vision, Speech and Hearing in Addition to Coordinated Movements
16.4. Synaptic Plasticity for Learning
16.5. Cursive versus Block Letters: Analog and Digital Learning
16.6. Motivation for Learning and Instructive Learning
17. Use of Animal Data on Hippocampus Learning for Repair and Learning in Humans
17.1. Limited Neurogenesis in Humans from Endogenous Stem Cells
17.2. Excitation-Neurogenesis Coupling in Learning: Comparison between Animals and Humans
17.2.1. Excitation-neurogenesis Coupling in Animal and Human Spinal Cords
17.2.2. Activation of Excitation-Neurogenesis Coupling Is Sensed in Animals via Ca2+ Channels and NMDA Receptors of NPCs
17.2.3. Excitation through Ca2+ Channels and NMDA Receptors Modulate Gene Expression
17.2.4. Sort Survival of Newborn Neurons if Not Integrated in Adult Neural Networks
17.2.5. Activity-dependent Neurogenesis Supports the Re-learning of Lost Pattern Functions and Supports Clearance of Post-injury Developed Pathologic Patterns
17.2.6. Neurogenesis Elicits More Rapid Loss or Clearance of Previously Stored Old Memories and the Newest Memories Are Recalled at a Higher Fidelity
17.2.7. New Neurons Enhance the Accuracy of Stored Patterns Especially when Networks Had Been much More Active and Many Different Patterns Were Trained
17.2.8. Excitation-Neurogenesis Coupling Is Influenced by Local Activity, Access to Local Activity and Ability of the Local Environment
17.2.9. Distances of Communication between Motoneuron Axons and Target Muscle Fiber in Frog
17.2.10. Connection of NPCs to the Activated Networks
17.3. Critical Period Plasticity
17.4. Neural Network and Pattern Stability
17.5. Repair Connected to Blood Vessels
17.6. Repair Influences from Distant Excited Networks
17.7. It Is Learning that Achieves Repair
17.8. Microenvironment (Neurogenic Niche) Permissive for the Differentiation and Integration of New Neurons
17.9. The Necessity of Adequate Activation of Networks to the Repair of the Human CNS
17.10. Selective Requirement for Natural Activity in Specific Neurogenesis and in Shaping the Integration of Specific Neurons into Damaged Adult Neural Networks for Repair
18. Epigenetic Modification for Repair by Movement-based Learning
18.1. Epigenetic: Adaptation and Repair by Learning
18.2. Gene Expression Pattern Triggered by Excitation in Proliferating Adult NPCs
18.3. Regulation of Epigenetic Modification for Repair by Movement-based Learning
18.4. Movement-based Learning and the Critical Postnatal Period
18.5. Movement-based Learning in the Prenatal Period
18.6. Early Treatment in CNS Injury
18.7. Can CDT Influence the Epigenome to Functionally Repair Genetic Defects?
18.8. Dynamic and Reversible Modification of the Epigenetic Landscape in Comparison to Modification of the Landscape of Pattern Formation
18.9. Interaction of Neural Activity and Genetic Programs During Development and Repair
18.10. Relative Contribution of Cell Intrinsic versus Non-intrinsic Fate Determinants
18.11. Activation of Tumor-suppressor Gene by Exercise
19. Learning Seen Through Measurements of the Human CNS
19.2. What Is Being Learned?
19.3. What Cellular Mechanisms Underlie Neural Plasticity?
19.4. Credit Assignment Problem
19.5. Learning Information Available for Guiding the Learning Process
Chapter II Rate of Neuronal Network Learning in the Healthy and Injured Human CNS
Based on human anatomy, knowledge of neural network organization from measurements of natural impulse patterns for the communication of the CNS with the outside world with two electrophysiological recording methods, the single-nerve fiber action poten...
This special CDT device is used to improve CNS functioning by learning and to measure the rate of learning in the healthy and injured human CNS. First, motor learning is measured during normal and deviant motor development by using the low-load coordi...
1. Principles of Neural Network Learning
1.1. Recapitulation of General Principles for Neuronal Network Learning
1.2. Improvement of CNS Organization in the Short-term Memory
1.3. Increase of the Integrativity of Neuronal Network Learning by Including Vision and Hearing and Speech
1.4. Speech Induction by Learning Transfer from Coordinated Movements in a Patient with Cerebrum, Thalamus, and Corpus Callosum Malformation or Injury
1.4.2. Regulatory Circuits and Pathways Involved in the Coordination of Movement, Motor Learning, and Memory Which May Be Impaired upon Thalamus Injury
1.4.3. Coordination Dynamics in Speech
1.4.4. Speech Induction by Learning Transfer from Coordinated Movements in a Patient with Cerebrum, Thalamus, and Corpus Callosum Malformation or Injury
1.5. Learning Is Hampered by the Deficiency of the Neuronal Structure of the CNS
2. Normal and Deviant Motor Development and Repair Following Movement-based Learning
2.1. Neural Network Learning Is Hampered by Deficiencies of Networks and Lack of Network Variability
2.2. Longitudinal and Cross-sectional Study
2.4. Postnatal Development and Repair
3. Intrapersonal Development from Six Months to Seven Years of Age
3.1. Special CDT Devices for Babies and Children up to the Age of Six
3.2. EMG Motor Programs in Young Infants
3.3. Neuronal Network Complexity Is Needed for Complicated Coordination Patterns
3.4. Coordination Dynamics (CD) Assessment between Three and Seven Years of Age
3.5. Transient Rapid Exercise
4. CNS Development between 3 and 18 Years of Age, Quantified by Low-load Coordination Dynamics (Cross-Sectional Study)
4.1. Problems of Assessment
4.2. Enhancement of Normal CNS Maturation upon Exercising on the Special CDT Device
4.3. More ‘Correction En Route’ of Abnormal CNS Maturation by Exercising on the Special CDT Device
4.5. Mistakes Made in the Direction of Exercise During Normal Development: Stability Maturation
4.6. Movement Stability Impairment Following CNS injury
4.7. Autistic Children: Abnormal Infantile Development
4.8. High-load Coordination Dynamics Assessment to Measure Rates of Learning
5. Motor Learning in the Healthy CNS
5.1. From Development to Movement-based Learning
5.2. Exercising against Higher Loads Is a Good Measure to Quantify Movement-Based Learning
5.3. Assessment Is also a Form of Therapy
5.4. Movement-based Learning for Different Loads in the Healthy CNS
5.5. Exercising Coordinated Movements at High Load to Improve Deep Network Complexity by Learning
5.6. Improvement of High-load CD (Movement-based Learning) and Super-compensation in Older Healthy Pupils
5.7. Movement-Based Learning in Short-Term Memory Is Fastest in Young Children
5.8. Movement-based Learning in the Short-term Memory in Spinal Cord and Brain Injury
5.9. Neural Network Learning Quantified by the Time to Achieve with CDT High-load Test Values under 100s-1
6. Learning in Mild Cerebral Palsy, Mild Epilepsy and Scoliosis
6.1. Improvement of CNS Functioning in Mild Cerebral Palsy upon Continuous High-load Testing
6.2. Improvement of CNS Functioning in Mild Epilepsy upon Continuous High-load Testing
6.3. Rate of Learning (Repair) in Mild Cerebral Palsy and Mild Epilepsy
6.4. Learning to Reduce Scoliosis
7. Motor Learning in Severe Traumatic Brain Injury
7.1. Movement-based Learning Has to Start in the Vigilant Coma
7.2. Neural Network Repair by Learning
7.3. The Rate of Learning Depends on the Efficiency of the Learning Method
7.3.1. Improvement of Low-Load CD Following Home Therapy
7.3.2. Improvement of High-load CD Following Home Therapy
7.3.3. Improvement of the Low-load CD upon Therapy under Professional Supervision
7.3.4. Improvement of High-load CD from Therapy under Professional Supervision
7.3.5. Comparison of Home Therapy and Therapy under Professional Supervision
7.3.6. Improvement of Movements upon Treatment at a Professional Therapy Place
7.3.7. Comparison of the Improvement of CNS Functioning after Injury with Physiologic Changes during Individual Development
7.3.8. Oscillatory Firing FF-type Muscle Fibers
7.3.9. Treatment Judgment according to Surface Electromyography (sEMG)
7.3.10. Need for Many Different Movements to Reorganize the Injured CNS
7.3.11. Need for Optimal Institutional Treatment
7.3.12. Stage of Repair 15 Years after the CNS Injury
7.3.13. Rate of Repair in Benjamin Quantified by High-load CD Values
7.3.14. Rate of Learning and Forgetting
7.3.15. Little Learning with Inefficient Learning
7.3.16. Comparison of Injury and Repair between Benjamin Mario and Andrej
7.3.17. The Society Has to Look for the Health of Their Children
7.3.18. Comparison between Optimal CDT and Sport Training
7.3.19. Treatment Started Already in the Vigilant Coma State
7.3.20. Rate of Repair Depends on Age and Treatment Quality
7.3.21. No Limit of CNS Repair if CDT Is Applied Continuously over Several Years at the Limit
7.3.22. Comparison of High-load CD Values between a Disabled Sportsman and the Author (Aging)
7.3.23. Rate of Learning Quantified by High-load Testing
7.3.24. Super-compensation
7.3.25. The Rate of Repair by Learning Declines with the Severity of the CNS Injury
7.3.26. Repair by Learning Depends on the Kind of Injury
7.3.27. Comparisons of the Improvements of High-load CDs for the Healthy and Injured CNS
7.3.28. Learning by High-load Training Has a High Impact on CNS Repair
Chapter III Neural Network Learning in Coma Patients
Neural network learning is also possible in patients who are not conscious. The learning is un-volitional. It is shown that coordination dynamics therapy (CDT) can be applied to coma patients. If the injury is not too severe, the patients recover earl...
The progress of neural network learning can partly be judged by the impression of the face of the patient and possibly by still working protection reactions. It is emphasized that such patients need efficient learning treatment to survive and to have ...
1. Learning and Memory of Neural Networks in Coma Patients
1.1. Repair Strategies at the Neuron Level to Implement Repair in Coma Patients
1.2. The Duration of the Coma Depends on the Severity of the Brain Injury and How Early Efficient Treatment Is Started
1.3. Volitional and Un-volitional Neuronal Network Learning
2. Case Report: Patient Out of Coma by 2 Years of CDT, 3 Years after Car Accident
2.1. Optimal CDT in a Coma Patient
2.2. Visible Anatomical Damage due to the Car Accident
2.3. Pathologic CNS Organization
2.4. The Pain and Consciousness Problem
2.5. Difficulties in Applying the Necessary Efficient Learning Treatment to Coma Patients
2.7. Progress and Obstacles to Repair after Five Months of CDT
2.8. Regression of the Coma
2.9. Repair after Nine Months of Therapy – First Signs of Regression of Coma
2.10. Repair after 16 Months of Non-optimal Therapy – Limited Improvements
2.11. Control of Functional and Structural Repair
2.12. Judging CNS Organization by the Impression of the Face
2.13. Brain Pressure Control
2.14. Normalization of Blood Pressure upon CDT
2.16. A Lack of a Satisfactory Outcome for Patients who Have Lost Significant Brain Matter
2.17. Out of Coma 3 Years after the Accident
2.19. Learning from the Repair of Severe Injuries for the Mild or Medium Severe Injuries
2.20. Sexual racism and out-of-date neuro-rehabilitation
Chapter IV Learning to Improve Health in Aging and Cancer Treatment
Movement-based learning is used to improve health in aging and following cancer treatment, i.e. surgery, chemo and radiation therapy. Since the nervous system is involved in nearly all body functions, it could well be that CDT enhances specific physio...
As quantified by the coordination dynamics, women and men have the same quality of CNS organization with respect to the coordination pattern dynamics values.
1.1. To Live Longer with a Better Quality of Life
1.2. Exogenous Stem Cell Therapy Is Unlikely to Work
2. Epigenetic Modification for Anticancer Treatment by Movement-Based Learning
2.1. Activation of Tumor-Suppressor Gene by Exercise
2.2. Authors Own Experience with Anticancer Effect and Body Function Repair upon Coordination Dynamics Therapy (CDT)
2.3. Difference in the Power of Regeneration
2.4. CDT after Hip Replacement
2.5. CDT after Breast Cancer Treatment to Reduce Edema
2.6. Prolonged Fasting and CDT May Trigger Stem Cell-based Regeneration of Damaged, Old Immune or Other Systems
2.7. Prolonged Fasting, CDT and Training at Power Limit to Rejuvenate the Body
2.8. Reduction of the Blood Pressure by Prolonged Fasting and CDT
2.9. Can the Administration of CDT, HL Exercising and Prolonged Fasting Replace in Some Cases β-blocker Administration?
2.10. Reduction of the Biological Age during a Period of 4 Months by Repeated Prolonged Fasting up to 5 Days and Exercising
2.10.1. Improvement of the Immune System
2.10.2. Repair of the Eye Functions
2.11. Coordination Dynamics during a Period of Additional Repeated 6-days and 4-day Prolonged Fasting
2.12. Blood Pressure Reduction due to Prolonged Repeated Fasting
2.13. Beneficial Effects of Prolonged Fasting with Periods up to 6 and 4 Days
2.14. Negative Effects of Prolonged Fasting up to 6 and 4 Days
2.15. Practice Guidelines for Repeated Prolonged Fasting and CDT
2.16. Not or Only Little Repaired Functions by Fasting, CDT and Spontaneous Recovery
2.17. Suggested Practice Guideline for Patients Who Underwent Cancer Treatment Surgery and/or Chemo and Radiation Therapy
3. Comparison of Neural Network Learning during Development and CDT Plus Prolonged Fasting in Aging
3.1. Overlap of Different Movement Patterns
3.2. Improvement of Neural Network Organization in the Short-term Memory
3.3. Improvement of Neural Network Organization in the Short-term Memory Following CDT and 6-day-Fasting
3.4. Synaptic Potentiation as One Possible Reason for the Improvement of Movement Performance
3.5. Sub-synaptic Potentials and Active and Passive Impulse Conduction in a Frog Model
3.6. Neural Network Learning During Development
3.6.1. Neuronal Networks Need Complexity to Generate Complex Patterns
3.6.2. CD Assessment between 2 and 5 Years of Age
3.6.3. Preference of Function to Symmetry Learning
3.6.4. Functions, Which Need Less Network Complexity Are Learned and Repaired First
3.6.5. The Quality, Complexity, and Stability of CNS Neuronal Networks of a 5-Year-old Child Is Far Away from Those of the Adult Mother
3.6.6. Transient Very Fast Exercising
3.6.7. Development of Coordination Dynamics (CD) Values between 5 and 19 Years of Age for Girls and Boys
3.6.8. Equality between Women and Men
3.6.9. Fast Movements to Improve Phase and Frequency Coordination among Neuron Firing for Improving CNS Self-Organization
3.6.10. Occurrence of CNS Instabilities due to Lack of Sufficient Movement-based Learning
3.6.11. Transient Fast Moving
3.7. Neural Network Learning in Aging when Performing CDT with Respect to Fast Exercising
3.8. Neural Network Learning in Aging when Performing CDT Plus Repeated Prolonged Fasting with Respect to Fast Exercising
3.8.1. Increase of Fast Exercising in Aging
3.8.2. Occurrence of Transient Fast Exercising When Performing CDT and Repeated Prolonged Fasting
3.8.3. Worsening of CNS Functioning during PROLONGED Fasting
3.8.4. Short-term Supercompensation Changes during Prolonged Fasting
3.8.5. High-load Performance after Four Day Fasting with Eating Again
3.8.6. Possible Explanation for Reduced Short-term Supercompensation and Rigor by Reduced Neurotrophin-Induced Facilitation of Synaptic Potentiation during Fasting
3.8.7. Rigor in Parkinson’s Disease
3.9. Comparison between Neural Network Learning of the Healthy Development and during CDT and Prolonged Fasting in Aging
4. Neural Network Learning during Deviant Development and Severe Impairments in Aging
4.1. Retarded, Accelerated or Deviant Development of Motor Functions
4.2. Learning for Repair by Recapitulating Development
4.4. Problem Solving Therapy by Learning during Deviant Development
4.5. Motor Learning and Problem Solving Therapy by Learning
4.6. Development and Repair of Neuronal Networks by Movement-Based Learning
4.7. Neurogenesis of Premotor Spinal Oscillators in Myelomeningocele and Following Cancer Treatment in Infants by Movement-Based Learning
4.8. Structure of Premotor Spinal α2-oscillators and Their Coordinated Firing
4.9. Transient Fast Exercising During Deviant Motor Development
4.10. Severe Impairments of CNS Functioning with Aging
4.11. Movement-Based Learning in Care
4.12. Stage of Repair/Rejuvenation 6 Years after Cancer Treatment and 5 Years after Reconstruction
4.13. Cell Replacement Training (Learning)
Chapter V Learning to Improve Higher Mental Function and Reduce Depression and Anxiety Patterns
When adding vision, hearing, and speech to movement-based learning, and coordinating those with movement-based learning, the efficiency of pattern learning can be improved, because the CNS neural networks are activated more integratively, and the lear...
1. Efficient and Integrative Learning When Exercising on the Special CDT Device
3. War Children (Kriegskinder)
4. Depression and Repair of Higher Mental Functions
5.1. Facial Expression and Learning
5.2. Facial Expression for Social Communication
5.3. Recapitulation Development of Facial Expression
5.3.1. Facial Expression and Perception and Social Communication
6. How to Continue with Human Neurophysiology, that Means with Medicine, to Improve Health
Author’s Contact Information
Neural Network Learning in Humans
( Neuroscience Research Progress )
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