Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex
© Dura-Bernal et al; licensee BioMed Central Ltd. 2014
Published: 21 July 2014
Electrical microstimulation can be used to drive neural responses to match meaningful spiking patterns corresponding to natural sensory stimuli or motor behaviors. Optimizing microstimulation sequences requires repeatedly stimulating the neural system to obtain sufficient probing data to construct an inverse model. This is challenging in the real brain where probing time may be limited and plasticity may be induced. Biologically realistic models allow the system to be repeatedly probed and reset, providing a unique test bed for understanding the dynamic interaction between ongoing neural activity and artificially applied stimulation. Here, we employ a biomimetic spiking model (BMM) of sensorimotor cortex which controls a realistic virtual musculoskeletal arm that performs reaching movements .
This work demonstrates the advantages of employing in silico brain simulations and realistic limb models as a test bed for microstimlation-based neural controllers. The proposed system, which has been previously interfaced with a neural data acquisition system and a robotic arm in real time , paves the way for the faster development of neuroprosthetics for the dynamic repair of damaged motor neural systems.
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