Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm.
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Author
Dura-Bernal, SalvadorZhou, Xianlian
Neymotin, Samuel A
Przekwas, Andrzej
Francis, Joseph T
Lytton, William W
Keyword
biomimeticmusculoskeletal arm
neuroprosthetics
reaching
robot arm
sensorimotor
spiking network
virtual arm
Journal title
Frontiers in neuroroboticsDate Published
2015-11-25Publication Volume
9Publication Begin page
13
Metadata
Show full item recordAbstract
Embedding computational models in the physical world is a critical step towards constraining their behavior and building practical applications. Here we aim to drive a realistic musculoskeletal arm model using a biomimetic cortical spiking model, and make a robot arm reproduce the same trajectories in real time. Our cortical model consisted of a 3-layered cortex, composed of several hundred spiking model-neurons, which display physiologically realistic dynamics. We interconnected the cortical model to a two-joint musculoskeletal model of a human arm, with realistic anatomical and biomechanical properties. The virtual arm received muscle excitations from the neuronal model, and fed back proprioceptive information, forming a closed-loop system. The cortical model was trained using spike timing-dependent reinforcement learning to drive the virtual arm in a 2D reaching task. Limb position was used to simultaneously control a robot arm using an improved network interface. Virtual arm muscle activations responded to motoneuron firing rates, with virtual arm muscles lengths encoded via population coding in the proprioceptive population. After training, the virtual arm performed reaching movements which were smoother and more realistic than those obtained using a simplistic arm model. This system provided access to both spiking network properties and to arm biophysical properties, including muscle forces. The use of a musculoskeletal virtual arm and the improved control system allowed the robot arm to perform movements which were smoother than those reported in our previous paper using a simplistic arm. This work provides a novel approach consisting of bidirectionally connecting a cortical model to a realistic virtual arm, and using the system output to drive a robotic arm in real time. Our techniques are applicable to the future development of brain neuroprosthetic control systems, and may enable enhanced brain-machine interfaces with the possibility for finer control of limb prosthetics.Citation
Dura-Bernal S, Zhou X, Neymotin SA, Przekwas A, Francis JT, Lytton WW. Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Front Neurorobot. 2015 Nov 25;9:13. doi: 10.3389/fnbot.2015.00013. PMID: 26635598; PMCID: PMC4658435.DOI
10.3389/fnbot.2015.00013ae974a485f413a2113503eed53cd6c53
10.3389/fnbot.2015.00013
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- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International
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