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Conference papers

Recording and simulation of hippocampal neural networks

Abstract : In order to simulate the spiking activity of in-vitro neuron networks recorded by MEA, the engine SIMONE (Statistical sIMulation Of Neuronal networks Engine) has been updated and used. SIMONE has been originally designed to produce realistic extracellular signals used as input data for the validation of spike detection and sorting algorithms. The aim of this study is to compare simulated with measured spikes trains. We present different simulations based on the architecture of a real network composed by 14 neurons grown around one electrode. The comparison between real and simulated data is quantitatively performed using different spike detection tools based on thresholding or wavelet analysis. A careful adjustment of SIMONE parameters allows to reproduce the spontaneous bursting pattern of this real network while further investigations emphasize the role of synaptic noise in network activity.
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Contributor : Guillaume Becq Connect in order to contact the contributor
Submitted on : Thursday, September 4, 2008 - 1:07:27 PM
Last modification on : Tuesday, October 19, 2021 - 11:22:42 PM
Long-term archiving on: : Thursday, June 3, 2010 - 8:32:36 PM


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  • HAL Id : hal-00318583, version 1



Elisa Diaz Bellostas, Ricardo Escola, Pascale Pham, Régis Guillemaud, Guillaume Becq, et al.. Recording and simulation of hippocampal neural networks. 6th international meeting on substrate-integrated micro electrode arrays, Jul 2008, Reutlingen, Germany. pp.123-124. ⟨hal-00318583⟩



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