One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the interactions between a network of neurons and an external system, such as an interacting environment or an artificial device. In this chapter, we provide an overview of closed-loop in vitro systems, which have been developed for investigating potential neuroprosthetic applications. In particular, we first explore how to modify or set a target dynamical behavior in a network of neurons. We then analyze the behavior of in vitro systems connected to artificial devices, such as robots. Finally, we provide an overview of biological neuronal networks interacting with artificial neuronal networks, a configuration currently offering a promising solution for clinical applications.

Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications / M. Bisio, A. Pimashkin, S. Buccelli, J. Tessadori, M. Semprini, T. Levi, I. Colombi, A. Gladkov, I. Mukhina, A. Averna, V. Kazantsev, V. Pasquale, M. Chiappalone (ADVANCES IN NEUROBIOLOGY). - In: In Vitro Neuronal Networks : From Culturing Methods to Neuro-Technological Applications / [a cura di] M. Chiappalone, V. Pasquale, M. Frega. - [s.l] : Springer, 2019. - ISBN 9783030111342. - pp. 351-387

Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications

A. Averna;
2019

Abstract

One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the interactions between a network of neurons and an external system, such as an interacting environment or an artificial device. In this chapter, we provide an overview of closed-loop in vitro systems, which have been developed for investigating potential neuroprosthetic applications. In particular, we first explore how to modify or set a target dynamical behavior in a network of neurons. We then analyze the behavior of in vitro systems connected to artificial devices, such as robots. Finally, we provide an overview of biological neuronal networks interacting with artificial neuronal networks, a configuration currently offering a promising solution for clinical applications.
Neuroprosthetics; Neurorobotics; Neurodynamics; Neuromorphic engineering; Stimulation
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Settore MED/26 - Neurologia
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/715376
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