A Real-Time Closed-Loop Setup for Hybrid Neural Networks
2007; Institute of Electrical and Electronics Engineers; Linguagem: Inglês
10.1109/iembs.2007.4352961
ISSN1557-170X
AutoresGuilherme Bontorin, Sylvie Renaud, André Garenne, Ludovic Alvado, Gwendal Le Masson, Jean Tomas,
Tópico(s)CCD and CMOS Imaging Sensors
ResumoHybrid living-artificial neural networks are an efficient and adaptable experimental support to explore the dynamics and the adaptation process of biological neural systems. We present in this paper an innovative platform performing a real-time closed-loop between a cultured neural network and an artificial processing unit like a robotic interface. The system gathers bioware, hardware, and software components and ensures the closed-loop data processing in less than 50 micros. We detail here the system components and compare its performances to a recent commercial platform.
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