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Even equipped with expensive artificial sensors, classical simultaneous localization, mapping systems are still challenged by various problems in realistic scenarios. For achieving better performance, people strive to find alternative solutions on the brain-inspired approaches. Rodents have excellent spatial learning, memory ability. Inspired by the neural computation mechanisms of rodent spatial...
In this paper, a control model is developed to automate the process of navigation in rat-robot-a new type of bio-robot based on BCI(Brain-Computer Interface) technique. Because of the particular difficulties in rat-robot control, we design a novel control model to ‘learn’ and ‘imitate’ the control behavior of human guidance. General Regression Neural Network (GRNN) model is used to analyze the control...
Brain machine interfaces (BMIs), offer a direct path for brain to communicate with outside world, mainly use central neural activities to control artificial external devices. These techniques to collect the brain signals could be distinguished as non-invasive or invasive BMIs according to the position of recoding electrodes. Compared with non-invasive BMIs, invasive BMIs have wide potential in assisting,...
In this paper, we present a novel intelligent control system for rat navigation based on video tracking and state machine techniques. And we demonstrate the automatic navigation of a rat to follow a preset course. The system consists of these components: (1) a wireless backpack stimulator comprised of stimulating circuit, control processor and bluetooth transceivers, (2) a video camera device capturing...
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