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

Bio Systems
J F VibertE Av-ron

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.

References

Nov 1, 1992·Trends in Neurosciences·I Segev
Jan 1, 1991·Biological cybernetics·E Av-RonL A Segel
Dec 1, 1995·Nature Medicine·J F VibertE Av-ron
Jul 1, 1996·Neural Networks : the Official Journal of the International Neural Network Society·Noureddine AzmyKhashayar Pakdaman

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Citations

Dec 9, 1998·Computers and Biomedical Research, an International Journal·L JeandenansA E Villa
Nov 3, 2011·PLoS Computational Biology·Mijung Park, Jonathan W Pillow

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