XNBC - A SIMULATION TOOL - APPLICATION TO THE STUDY OF NEURAL CODING USING HYBRID NETWORKS

Citation
Jf. Vibert et al., XNBC - A SIMULATION TOOL - APPLICATION TO THE STUDY OF NEURAL CODING USING HYBRID NETWORKS, Biosystems, 40(1-2), 1997, pp. 211-218
Citations number
19
Categorie Soggetti
Biology
Journal title
ISSN journal
03032647
Volume
40
Issue
1-2
Year of publication
1997
Pages
211 - 218
Database
ISI
SICI code
0303-2647(1997)40:1-2<211:X-AST->2.0.ZU;2-C
Abstract
XNBC is a software package for simulating biological neural networks. Two neuron models are available, a leaky integrator model and an ion-c onductance model. Inputs to the simulated neurons can be provided by e xperimental data stored in files, allowing the creation of 'hybrid' ne tworks. 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 visu alized. A point process, frequency or dynamic analysis of the simulato r output can be performed. The successive stages of the creation of a hybrid network are explained.