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    Information in a Network of Neuronal Cells: Effect of Cell Density and Short-Term Depression

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    Type
    Article
    Authors
    Onesto, Valentina
    Cosentino, Carlo
    Di Fabrizio, Enzo M. cc
    Cesarelli, Mario
    Amato, Francesco
    Gentile, Francesco
    KAUST Department
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2016-06-14
    Online Publication Date
    2016-06-14
    Print Publication Date
    2016
    Permanent link to this record
    http://hdl.handle.net/10754/617307
    
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    Abstract
    Neurons are specialized, electrically excitable cells which use electrical to chemical signals to transmit and elaborate information. Understanding how the cooperation of a great many of neurons in a grid may modify and perhaps improve the information quality, in contrast to few neurons in isolation, is critical for the rational design of cell-materials interfaces for applications in regenerative medicine, tissue engineering, and personalized lab-on-a-chips. In the present paper, we couple an integrate-and-fire model with information theory variables to analyse the extent of information in a network of nerve cells. We provide an estimate of the information in the network in bits as a function of cell density and short-term depression time. In the model, neurons are connected through a Delaunay triangulation of not-intersecting edges; in doing so, the number of connecting synapses per neuron is approximately constant to reproduce the early time of network development in planar neural cell cultures. In simulations where the number of nodes is varied, we observe an optimal value of cell density for which information in the grid is maximized. In simulations in which the posttransmission latency time is varied, we observe that information increases as the latency time decreases and, for specific configurations of the grid, it is largely enhanced in a resonance effect.
    Citation
    Information in a Network of Neuronal Cells: Effect of Cell Density and Short-Term Depression 2016, 2016:1 BioMed Research International
    Sponsors
    This work has been partially funded from the Italian Minister of Health (Project no. GR-2010-2320665).
    Publisher
    Hindawi Limited
    Journal
    BioMed Research International
    DOI
    10.1155/2016/2769698
    PubMed ID
    27403421
    Additional Links
    http://www.hindawi.com/journals/bmri/2016/2769698/
    ae974a485f413a2113503eed53cd6c53
    10.1155/2016/2769698
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Material Science and Engineering Program

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