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
Link To Document :
بازگشت