• DocumentCode
    1330439
  • Title

    In vitro 2-D networks of neurons characterized by processing the signals recorded with a planar microtransducer array

  • Author

    Bove, Marco ; Grattarola, Massimo ; Verreschi, Giovanni

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    44
  • Issue
    10
  • fYear
    1997
  • Firstpage
    964
  • Lastpage
    977
  • Abstract
    The purpose of this paper is to extensively analyze and utilize the key features that characterize the recently available electrophysiological technique of growing selected populations of neurons on planar substrate microelectrode arrays. This experimental configuration is first simulated by modeling the signal transduction operated by an array of microtransducers coupled to a network of Hodgkin-Huxley-like neurons, connected to each other with given levels of synaptic strength. Signal processing tools are then described and validated by identifying the various degrees of connectivity previously introduced into the simulated network. Finally, these software tools are utilized to characterize the activity and identify the synaptic connectivity of networks of cultured neurons extracted from dorsal root ganglia (DRG) of chick embryos and exposed to synapse inhibiting/reinforcing ions. As a result, correlations between various regimens of electrophysiological activity and synaptic strength are obtained.
  • Keywords
    bioelectric potentials; biological techniques; biology computing; cellular biophysics; microelectrodes; neural nets; neurophysiology; signal processing; Hodgkin-Huxley-like neurons; chick embryos; connectivity degree; dorsal root ganglia; electrophysiological technique; in vitro 2-D neuron networks; inhibiting ions; planar microtransducer array recordings; planar substrate microelectrode arrays; reinforcing ions; software tools; synaptic strength; Biological neural networks; Electrodes; Electrophysiology; Embryo; In vitro; In vivo; Microelectrodes; Neurons; Signal analysis; Signal processing; Algorithms; Animals; Cells, Cultured; Chick Embryo; Computer Simulation; Electrophysiology; Ganglia, Spinal; Microelectrodes; Models, Neurological; Nerve Net; Neural Conduction; Neurons; Synapses; Transducers;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.634649
  • Filename
    634649