Literature DB >> 8971214

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

J F Vibert1, K Pakdaman, E Boussard, E 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.

Mesh:

Year:  1997        PMID: 8971214     DOI: 10.1016/0303-2647(96)01648-6

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

1.  XNBC V9: a simulation package of biological neural networks for the neurobiologist, easy to use, full featured and extensible.

Authors:  Jean François Vibert; Fabian Alvarez; Efstratios K Kosmidis
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.

Authors:  A J Cope; P Richmond; S S James; K Gurney; D J Allerton
Journal:  Neuroinformatics       Date:  2017-01
  2 in total

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