Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm.

ABSTRACT: 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 timi

SUBMITTER: Dura-Bernal S 

PROVIDER: S-EPMC4658435 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature