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Parallel implementation of a biologically inspired model of figure-ground segregation: Application to real-time data using MUSIC
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Parallel implementation of a biologically inspired model of figure-ground segregation: Application to real-time data using MUSIC
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Parallel implementation of a biologically inspired model of figure-ground segregation: Application to real-time data using MUSIC
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Journal Article
Parallel implementation of a biologically inspired model of figure-ground segregation: Application to real-time data using MUSIC
2011
Overview
MUSIC, the multi-simulation coordinator, supports communication between neuronal-network simulators, or other (parallel) applications, running in a cluster super-computer. Here, we have developed a class library that interfaces between MUSIC-enabled software and applications running on computers outside of the cluster. Specifically, we have used this component to interface the cameras of a robotic head to a neuronal-network simulation running on a Blue Gene/L supercomputer. Additionally, we have developed a parallel implementation of a model for figure ground segregation based on neuronal activity in the Macaque visual cortex. The interface enables the figure ground segregation application to receive real-world images in real-time from the robot. Moreover, it enables the robot to be controlled by the neuronal network.
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