VibertEtAl97

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XNBC: a simulation tool. Application to the study of neural coding using hybrid networks.

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Abstract

XNBC is a software package for simulating biological neural networks. Two neuron models are available, a leaky integrator model and an ion-conductance model. Inputs to the simulated neurons can be provided by experimental data stored in files, allowing the creation of 'hybrid' networks. Graphic tools are used to describe the modeled neurons as well as the network. Neuron and network parameters can be modified during the simulation, to mimic electrical stimulations and drugs action. The temporal evolution of the network and of selected neurons can be visualized. A point process, frequency or dynamic analysis of the simulator output can be performed. The successive stages of the creation of a hybrid network are explained.

BibTeX

@article{VibertPakdamanBoussardAv-Ron97,
	address = {B3E, ESI INSERM U444, ISARS, Facult\'{e} de M\'{e}decine Saint-Antoine, Paris, France. vibert@b3e.jussieu.fr.},
	author = {Vibert, J. F.  and Pakdaman, K.  and Boussard, E.  and Av-Ron, E. },
	citeulike-article-id = {2716628},
	issn = {0303-2647},
	journal = {Bio Systems},
	number = {1-2},
	pages = {211--218},
	posted-at = {2008-04-25 05:05:22},
	priority = {2},
	title = {XNBC: a simulation tool. Application to the study of neural coding using hybrid networks.},
	url = {http://view.ncbi.nlm.nih.gov/pubmed/8971214},
	volume = {40},
	year = {1997}
}