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Erschienen in: Artificial Life and Robotics 3/2017

22.05.2017 | Original Article

Biomimetic neural network for modifying biological dynamics during hybrid experiments

verfasst von: Matthieu Ambroise, Stefano Buccelli, Filippo Grassia, Antoine Pirog, Yannick Bornat, Michela Chiappalone, Timothée Levi

Erschienen in: Artificial Life and Robotics | Ausgabe 3/2017

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Abstract

Electrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for many neurological disorders. Here we present closed-loop bio-hybrid experiment using in vitro biological neuronal network (BNN) with an artificial neural network (ANN) implemented in a neuromorphic board. We adopted a neuromorphic board which is able to perform real-time event detection and trigger an electrical stimulation of the BNN. This system embeds an ANN, based on Izhikevich neurons which can be put in uni- and bi-directional communication with the BNN. The ANN used in the following experiments was made up of 20 excitatory neurons with inhibition synapse and with synaptic plasticity to design central pattern generator. Open-loop and closed-loop hybrid experiments show that the biological dynamics can be modified. This work can be seen as the first step towards the realization of an innovative neuroprosthesis.

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Metadaten
Titel
Biomimetic neural network for modifying biological dynamics during hybrid experiments
verfasst von
Matthieu Ambroise
Stefano Buccelli
Filippo Grassia
Antoine Pirog
Yannick Bornat
Michela Chiappalone
Timothée Levi
Publikationsdatum
22.05.2017
Verlag
Springer Japan
Erschienen in
Artificial Life and Robotics / Ausgabe 3/2017
Print ISSN: 1433-5298
Elektronische ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-017-0366-1

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