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Recording and simulation of hippocampal neural networks with bicuculline

Abstract : In this study we compare the neural activity of a population of neurons recorded with a MEA to simulations of equivalent networks obtained on a computer when bicuculline, an antagonist of inhibitory connections, is introduced into the nutritive solution. The aim of this study is to obtain a model producing extra-cellular data that match the synchronicity of two different real networks: a cell culture and an oraganotypic hippocampus slice. A one compartment model of neuron and a neuron-electrode model are used to simulate experiments. Parameters of the models are fitted to match in vivo data. It is shown that the variation of the noise level at the synaptic level induces a variation in the period of the bursting effect of bicuculline and produces variation in amplitude of the recorded signal.
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https://hal.archives-ouvertes.fr/hal-00317573
Contributor : Guillaume Becq <>
Submitted on : Thursday, September 4, 2008 - 11:59:08 AM
Last modification on : Friday, June 4, 2021 - 10:06:02 AM
Long-term archiving on: : Monday, October 8, 2012 - 11:35:57 AM

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Guillaume Becq, Sophie Roth, Steeve Zozor, Jacques Brocard, Sylvie Gory-Fauré, et al.. Recording and simulation of hippocampal neural networks with bicuculline. 6th international meeting on substrate-integrated micro electrode arrays, Jul 2008, Reutlingen, Germany. pp.345-348. ⟨hal-00317573⟩

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