Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Journal: Scientific reports
PMID: 32371937

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.

Authors

  • Yossi Mosbacher
    Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel.
  • Farad Khoyratee
    IMS laboratory, CNRS UMR 5218, University of Bordeaux, Talence, 33405, France.
  • Miri Goldin
    Biocruces Health Research Institute, Barakaldo, 48903, Spain.
  • Sivan Kanner
    Department of Neurobiology, George S. Wise, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
  • Yenehaetra Malakai
    GEII department, IUT Bordeaux, University of Bordeaux, Gradignan, 33175, France.
  • Moises Silva
    Faculty of Informatics, University of the Basque Country, San Sebastian, 20018, Spain.
  • Filippo Grassia
    Laboratory of Innovative Technologies, University of Picardie Jules Verne, Amiens, 80025, France.
  • Yoav Ben Simon
    Department of Neurobiology, George S. Wise, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
  • Jesus Cortes
    Department of Cell Biology and Histology, University of the Basque Country, Leioa, 48940, Spain.
  • Ari Barzilai
    Department of Neurobiology, George S. Wise, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
  • Timothée Levi
    Institute of Industrial Science, IIS, The University of Tokyo, Tokyo, Japan.
  • Paolo Bonifazi
    IKERBASQUE, The Basque Fundation, Bilbao, 48013, Spain. paol.bonifazi@gmail.com.

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