Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017)

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"A robotic arm and hand controlled by simulated neurons is presented. The robot makes use of a biological neuron simulator using a point neural model. ... The robot performs a simple pick-and-place task. ... As another benefit, it is hoped that further work will also lead to a better understanding of human and other animal neural processing, particularly for physical motion. This is a multidisciplinary approach combining cognitive neuroscience, robotics, and psychology."
1 . Singh N, Huyck C, Gandhi V, Jones A (2016) Neuron-Based Control Mechanisms for a Robotic Arm and Hand ICMRRS 2017: International Conference on Medical Robotics and Robotics for Surgery, Paris, France 3(2):660
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire adaptive exponential (AdEx) neuron;
Gap Junctions:
Simulation Environment: NEST (web link to model);
Model Concept(s): Methods;
Implementer(s): Singh, Nishant [ns1144 at];
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