Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation
dc.contributor.author | Mosbacher, Yossi | |
dc.contributor.author | Khoyratee, Farad | |
dc.contributor.author | Goldin, Miri | |
dc.contributor.author | Kanner, Sivan | |
dc.contributor.author | Malakai, Yenehaetra | |
dc.contributor.author | Silva, Moisés | |
dc.contributor.author | Grassia, Filippo | |
dc.contributor.author | Ben Simon, Yoav | |
dc.contributor.author | Cortés Díaz, Jesús María | |
dc.contributor.author | Barzilai, Ari | |
dc.contributor.author | Levi, Timothée | |
dc.contributor.author | Bonifazi, Paolo | |
dc.date.accessioned | 2020-05-12T21:10:30Z | |
dc.date.available | 2020-05-12T21:10:30Z | |
dc.date.issued | 2020-05-05 | |
dc.identifier.citation | Scientific reports 10 : (2020) // Article ID 7512 | es_ES |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/10810/43192 | |
dc.description.abstract | Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spiking neuronal network (SNN) implemented on digital platform and an in-vitro biological neuronal network (BNN), generating similar spontaneous patterns of activity both spatial and temporal. The communication between the networks was established using patterned optogenetic stimulation via a modified digital light projector (DLP) receiving real-time input dictated by the spiking neurons' state. Each stimulation consisted of a binary image composed of 8 * 8 squares, representing the state of 64 excitatory neurons. The spontaneous and evoked activity of the biological neuronal network was recorded using a multi-electrode array in conjunction with calcium imaging. The image was projected in a sub-portion of the cultured network covered by a subset of the all electrodes. The unidirectional information transmission (SNN to BNN) is estimated using the similarity matrix of the input stimuli and output firing. Information transmission was studied in relation to the distribution of stimulus frequency and stimulus intensity, both regulated by the spontaneous dynamics of the SNN, and to the entrainment of the biological networks. We demonstrate that high information transfer from SNN to BNN is possible and identify a set of conditions under which such transfer can occur, namely when the spiking network synchronizations drive the biological synchronizations (entrainment) and in a linear regime response to the stimuli. This research provides further evidence of possible application of miniaturized SNN in future neuro-prosthetic devices for local replacement of injured micro-circuitries capable to communicate within larger brain networks. | es_ES |
dc.description.sponsorship | The presented research results have received funding from the European Union’s Seventh Framework Programme (ICT-FET FP7/2007-2013, FET Young Explorers scheme) under grant agreement n284772 BRAINBOW (www.brainbowproject.eu). This work has been realized within the activity of the Joint Italian-Israeli Laboratory on Integrative Network Neuroscience financed by the Italian Ministry of Foreign Affairs (P.B., A.B.). The authors acknowledge financial support from from Ikerbasque (The Basque Foundation for Science) (P.B.) and from the Ministerio Economia, Industria y Competitividad of Spain (grant SAF2015-69484-R (MINECO/FEDER)) (PB). We would like acknowledge the late Prof. Eshel Ben-Jacob whose pioneering research inspired the current study. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Nature | es_ES |
dc.relation | info:eu-repo/grantAgreement/FP7-ICT 284772 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SAF2015-69484-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.title | Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre- ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per- mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.nature.com/articles/s41598-020-63934-4 | es_ES |
dc.identifier.doi | 10.1038/s41598-020-63934-4 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Biología celular e histología | es_ES |
dc.departamentoeu | Zelulen biologia eta histologia | es_ES |
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