Computational model of Upper Limb motor circuits using NEUROiD

Sirisha, Sripada and Raghavan, Mohan (2018) Computational model of Upper Limb motor circuits using NEUROiD. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Computational models of the upper extremity are invariably made using the musculoskeletal system which involves the biomechanics of the movements with little emphasis on the motor circuitry behind the locomotion. There is a need to understand to develop a model that can anatomically and functionally mimic the upper limb circuitry. This aids in understanding the principles behind locomotion and also helps in understanding the role of spinal cord in relaying the desired movement. The spinal cord is a complex circuit that receives stimulus from sensory nerves and brain and transmits the necessary motor output via a complex network of interneurons which can be both excitatory and inhibitory. In this study we use NEUROiD to understand the musculoskeletal model of the upper extremity without neglecting the motor circuitry that involved in the movement of the same by generating an anatomical model of the spinal cord which includes information on the cell types, antagonist-agonist muscles, connections that are taken from well-established neurophysiological studies. NEUROiD helps us to generate the entire cervical-thoracic segment of the spinal cord instead of producing hard-wired model to understand flexor-extensor circuits, recurrent oscillatory inhibitions and complex set of movements involved in the upper-limb.

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