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
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