XNBC V9: A user friendly simulation and analysis tool for neurobiologists
| Autor: | Efstratios K. Kosmidis, Fabián P. Alvarez, Jean-François Vibert |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
User Friendly
Computational neuroscience Artificial neural network business.industry Computer science Cognitive Neuroscience Machine learning computer.software_genre Computer Science Applications medicine.anatomical_structure Software Artificial Intelligence Human–computer interaction medicine Artificial intelligence Neuron Representation (mathematics) business Receptor computer |
| Zdroj: | Neurocomputing. :1715-1723 |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/s0925-2312(01)00537-9 |
| Popis: | XNBC V9 is a software intended to simulate biological neural networks. Two types of neuron models are available: phenomenological, and ion-conductance based with several receptor types. Inputs to simulated neurons may come from experimental data stored in files, to make “hybrid” networks. Neurons and networks are described using graphic tools. Neurons can be modified, stimulated or receive drugs during the simulation. The temporal evolution of the network and of individual neurons can be visualized. The software includes tools for the graphic representation of point process, frequency and dynamic analyses tools. XNBC is open source (GPL) and available on Internet. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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