A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks.

Computer Science Electronic Materials Evolvable Hardware Neuroscience Systems Neuroscience

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
27 Sep 2019
Historique:
received: 30 04 2019
revised: 18 07 2019
accepted: 29 07 2019
pubmed: 20 8 2019
medline: 20 8 2019
entrez: 18 8 2019
Statut: ppublish

Résumé

Recent advances in bioelectronics and neural engineering allowed the development of brain machine interfaces and neuroprostheses, capable of facilitating or recovering functionality in people with neurological disability. To realize energy-efficient and real-time capable devices, neuromorphic computing systems are envisaged as the core of next-generation systems for brain repair. We demonstrate here a real-time hardware neuromorphic prosthesis to restore bidirectional interactions between two neuronal populations, even when one is damaged or missing. We used in vitro modular cell cultures to mimic the mutual interaction between neuronal assemblies and created a focal lesion to functionally disconnect the two populations. Then, we employed our neuromorphic prosthesis for bidirectional bridging to artificially reconnect two disconnected neuronal modules and for hybrid bidirectional bridging to replace the activity of one module with a real-time hardware neuromorphic Spiking Neural Network. Our neuroprosthetic system opens avenues for the exploitation of neuromorphic-based devices in bioelectrical therapeutics for health care.

Identifiants

DOI: 10.1016/j.isci.2019.07.046 PMID: 31421595 PMC: PMC6706626
pubmed: 31421595
pii: S2589-0042(19)30273-1
doi: 10.1016/j.isci.2019.07.046
pmc: PMC6706626
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

402-414

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Stefano Buccelli (S)

Rehab Technologies IIT-INAIL Lab, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child science (DINOGMI), University of Genova, L.go P. Daneo 3, 16132 Genova, Italy; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Yannick Bornat (Y)

Laboratoire de l'Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, 351 Cours de la Libération, 33405 Talence Cedex, France.

Ilaria Colombi (I)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child science (DINOGMI), University of Genova, L.go P. Daneo 3, 16132 Genova, Italy; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Matthieu Ambroise (M)

Laboratoire de l'Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, 351 Cours de la Libération, 33405 Talence Cedex, France.

Laura Martines (L)

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy; Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Valentina Pasquale (V)

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Marta Bisio (M)

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy; Department of Neurosciences, University of Padova, Via Nicolò Giustiniani 5, 35128 Padova, Italy.

Jacopo Tessadori (J)

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Przemysław Nowak (P)

Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova, Via all'Opera Pia 13, 16145 Genova, Italy; Institute of Information Technology, Lodz University of Technology, ul. Wolczanska 215, 90-924 Lodz, Poland.

Filippo Grassia (F)

Laboratoire de l'Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, 351 Cours de la Libération, 33405 Talence Cedex, France; University of Picardie Jules Verne, Laboratory of Innovative Technologies (LTI, EA 3899), Avenue des Facultés, Le Bailly, 80025 Amiens, France.

Alberto Averna (A)

Rehab Technologies IIT-INAIL Lab, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child science (DINOGMI), University of Genova, L.go P. Daneo 3, 16132 Genova, Italy; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Mariateresa Tedesco (M)

Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Paolo Bonifazi (P)

School of Physics and Astronomy, Tel Aviv University, 69978 Tel Aviv, Israel; Computational Neuroimaging Laboratory, Biocruces Health Research Institute, Hospital Universitario Cruces, Baracaldo, Vizcaya 48903, Spain; Ikerbasque: The Basque Foundation for Science, Bilbao, Bizkaia 48013, Spain.

Francesco Difato (F)

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Paolo Massobrio (P)

Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Timothée Levi (T)

Laboratoire de l'Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, 351 Cours de la Libération, 33405 Talence Cedex, France; LIMMS CNRS-IIS, The University of Tokyo, 153-8505 Tokyo, Japan. Electronic address: timothee.levi@u-bordeaux.fr.

Michela Chiappalone (M)

Rehab Technologies IIT-INAIL Lab, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy. Electronic address: michela.chiappalone@iit.it.

Classifications MeSH