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Design of a Bioelectronics Hybrid System in Real Time and in Closed Loop

Guilherme Bontorin 1 André Garenne 2, 3 Colin Lopez 1 Gwendal Le Masson 3 Sylvie Renaud 1
2 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : Hynets, for Hybrid (living-artificial) Networks, are an efficient and adaptable experimental support to explore the dynamics and the adaptation process of biological systems. We present in this paper an innovative platform performing a real-time closed-loop between a cultured network (e.g. neurons) and an artificial processing (e.g. software processing or a robotic interface). The system gathers bioware, hardware, and software components and ensures the closed-loop data processing in less than 50 µs. We describe also a methodology that may help to standardize the description of some experiments. This method is associated to a full custom Graphical User Interface. We detail here the system choices, components, and performances.
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Submitted on : Thursday, May 30, 2013 - 10:25:31 AM
Last modification on : Monday, December 20, 2021 - 4:50:14 PM

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Guilherme Bontorin, André Garenne, Colin Lopez, Gwendal Le Masson, Sylvie Renaud. Design of a Bioelectronics Hybrid System in Real Time and in Closed Loop. Electronics, Penton Publishing Inc., 2012, 16 (2), pp.136-144. ⟨10.7251/ELS1216136B⟩. ⟨hal-00828011⟩



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