Building Bio-robot System Based On Bi-directional Neural Interface

With the high-speed development in neuroscience, computer technology and signal processing technology, research in neural interface has become the hotspot in several countries. Neural Interface is the channel by which the nervous system interacts with environment. NI transforms outside information into neural signals with certain patterns, and input them into nervous system to repair, improve or expand the original function of the nervous system. Meanwhile, various types of nerve signals could be transformed into machine instructions that can be identified, in order to control the outside environment. Bio-robot refers to animals implanted with NI, which transforms the control instructions into specific pattern to nervous signals to make the animal complete designated tasks. At the same time, NI records the spikes of animals' nerve cells to analyze and monitor the physiological state of animals in particular movement.At present, most neural interface in bio-robot could only be used in single directional transmission of information. The information from single-input neural interface can't be evaluated quantitatively; Lack of stimulation, single-output neural interface is unable to improve the control accuracy or applied to the field of rehabilitation. Besides most neural Interface contains complex transmission lines and gathering equipment, which limits the scope of activities of robots and affects the results. Therefore, the small bi-directional transmission of information neural interface has become the trend in the field. As a new interaction mode, neural interface technology has shown a great prospect in areas of military, human rehabilitation projects and etc.This paper implemented a wireless bi-directional neural interface, which provides a platform for the study of bio-robot. Firstly it introduces the status quo in the research of neural interface and bio-robot technology. Meanwhile, some key researches and technologies in bio-robot are mentioned. Then it refers to the technologies related to the development in bio-robot system. On the basis of these technologies theories, we design a bio-robot system with both input and output functions, and provide detailed analysis in motion control mode, video/neural action potential synchronization mode and data analysis mode. In the end, it shows some applications in experiments of animals' navigation and behavior determinant, which testifies the validity of this system. In addition, it makes some suggestions to improve the reliability of system and accuracy of data analysis. This study has great significance in the area of the animal control and the study of the motor cortex of the organization and function. Besides, it implies synchronous acquisition and division technology, which provide technical support for the Analysis of the brain cortex of the codec mechanism.