Computational Modeling of Neuromuscular Control of Voluntary Single Joint Movement
نویسندگان
چکیده
...............................................................................................................................ii Acknowledgements.............................................................................................................iv List of Illustrations:............................................................................................................vii Abbreviations: ..................................................................................................................... x Introduction: ........................................................................................................................ 1 Hypotheses: ......................................................................................................................... 2 Literature Review: .............................................................................................................. 3 I. Muscle models ............................................................................................................. 3 i. Extrafusal fibers ........................................................................................................ 3 ii. Riener and Quintern(RQ) model of muscle ............................................................ 5 iii. Intrafusal fibers ...................................................................................................... 9 iv. Mileusnic et al. model .......................................................................................... 10 v. Golgi Tendon Organ .............................................................................................. 13 vi.VA model .............................................................................................................. 13 vii. α-γ Co-activation and β Motoneurons ................................................................. 15 viii. Discussion .......................................................................................................... 15 II. Joint model ............................................................................................................... 16 i. Single joint model................................................................................................... 17 ii. Multi-joint model .................................................................................................. 19 iii. Discussion ............................................................................................................ 20 III. Involuntary CNS ..................................................................................................... 20 i. VITE-FLETE-CBM (Part 1) .................................................................................. 23 ii. Cerebellum ............................................................................................................ 29 iii. VITE-FLETE-CBM (Part 2) ................................................................................ 30 iv. VITE-FLETE-CBM Results ................................................................................. 32 v. CMAC ................................................................................................................... 32 vi. Cortical VITE ....................................................................................................... 33 IV. Voluntary CNS ........................................................................................................ 37 i. Basal Ganglia.......................................................................................................... 38 ii. Prefrontal Cortex ................................................................................................... 39 iii. Parietal Cortex ...................................................................................................... 40 iv. Premotor Cortex and Supplementary Motor Area................................................ 41 v. Basal ganglia thalamocortical model .................................................................. 42 vi. Adaptive Resonance Theory................................................................................. 46 vii. TELOS model...................................................................................................... 50 viii. LIST PARSE ...................................................................................................... 55 ix. lisTELOS .............................................................................................................. 58 Simulation Results and Discussion: .................................................................................. 60 I. VITE-FLETE-CBM ................................................................................................... 60 vi II. Cortical VITE model ................................................................................................ 63 III. Combined update VITE and FLETE-CBM model ................................................. 66 IV. Contreras-Vidal & Stelmach (CVS) Basal Ganglia Model .................................... 70 V. LIST PARSE ............................................................................................................ 71 VI. lisTELOS modified ................................................................................................. 73 Conclusions: ...................................................................................................................... 79 Bibliography: .................................................................................................................... 84
منابع مشابه
Modeling of Equilibrium Point Trajectory Control
MODELING OF EQUILIBRIUM POINT TRAJECTORY CONTROL IN HUMAN ARM MOVEMENTS by Kai Chen The underlying concept of the Equilibrium Point Hypothesis (EPH) is that the CNS provides a virtual trajectory of joint motion, representing spacing and timing, with actual movement dynamics being produced by interactions of limb inertia, muscle viscosity and speed/position feedback from muscle spindles. To coun...
متن کاملControl for electrical neuromuscular stimulator using fuzzy logic training gait in paraplegics
This article presents a personal computer-based control system for an electrical stimulator using fuzzy logic. The input signal comes from a goniometer and the output is the stimulation level to be applied in the muscle of the patient. By this way, that control system is made for the therapist that just specifies the desired joint angle. The movement that the patient will execute can be imitate...
متن کاملDoes the Extension Torque Control Differ between Injured and Uninjured Knees of ACL-Deficient Individuals?
Background: Knee extension torque control decreases after anterior cruciate ligament (ACL) rupture. There is a controversy in neuromuscular control changes on the uninvolved side. We intended to evaluate the steadiness and accuracy of quadriceps muscle control in the healthy and deficient sides of people with acute ACL rupture. Methods: In this cross-sectional study, thirteen men with ACL r...
متن کاملAlleviation of Motor Impairments in Patients with Cerebral Palsy: Acute Effects of Whole-body Vibration on Stretch Reflex Response, Voluntary Muscle Activation and Mobility
INTRODUCTION Individuals suffering from cerebral palsy (CP) often have involuntary, reflex-evoked muscle activity resulting in spastic hyperreflexia. Whole-body vibration (WBV) has been demonstrated to reduce reflex activity in healthy subjects, but evidence in CP patients is still limited. Therefore, this study aimed to establish the acute neuromuscular and kinematic effects of WBV in subjects...
متن کاملNeural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease
The organization of voluntary movement is disrupted in Parkinson’s disease. The neural network models of voluntary movement preparation and execution presented in the previous chapter are extended here by studying the effects of dopamine depletion in the output of the basal ganglia and in key neuronal types in the cortex and spinal cord. The resulting extended DA–VITE–FLETE model offers an inte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014