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
CINO, GIOVANNI
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.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14242/79322
Il codice NBN di questa tesi è
URN:NBN:IT:UNIMI-79322