The thesis describes a hardware/sofwtare system based on human neurons adhering to microelectrode arrays and interfaced to a robotic actuator. After a learning phase, the user stimulates the biological network of neurons by means of digital bidimensional patterns, the neurons react in an organized fashion and the Artificial Neural Network decodes their signals moving the robot. The system replies with more than 90% correct answers.
Implementazione ed analisi di reti neurali wetware / G. Cino ; tutor: R. Pizzi. DIPARTIMENTO DI TECNOLOGIE DELL'INFORMAZIONE (CREMA), 2007. 18. ciclo, Anno Accademico 2005/2006. [10.13130/cino-giovanni_phd2007].
Implementazione ed analisi di reti neurali wetware
G. Cino
2007
Abstract
The thesis describes a hardware/sofwtare system based on human neurons adhering to microelectrode arrays and interfaced to a robotic actuator. After a learning phase, the user stimulates the biological network of neurons by means of digital bidimensional patterns, the neurons react in an organized fashion and the Artificial Neural Network decodes their signals moving the robot. The system replies with more than 90% correct answers.
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