A Real-Time Closed-Loop Setup for Hybrid Neural Networks
- 1 August 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2007 (1094687X) , 3004-3007
- https://doi.org/10.1109/iembs.2007.4352961
Abstract
Hybrid 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 mus. We detail here the system components and compare its performances to a recent commercial platform.Keywords
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