Resumen

HERNANDEZ, Óscar Emilio; JABBA, Daladier  y  MUNOZ, Fabián. Data Exporter: A complementary tool to export data simulation from neuron. Salud, Barranquilla [online]. 2013, vol.29, n.2, pp.288-297. ISSN 0120-5552.

Objectives: To develop a computational tool for NEURON simulation environment, user friendly, to store the results generated during simulation and to make subsequent analysis with other tools such as Matlab and IgorPRo Materials and Methods: Data Exporter was implemented in the programming language hoc. This algorithm is divided in 13 sections or blocks. The first section is necessary to edit in a new simulation. These new configuration determine the geometry, biophysic properties the neurons to simulate and path to save data. Results: To check the efficiency of the algorithm, we simulated the propagation of action potential in TRN(thalamic reticular nucleus) neuron in different large of simulation. We determine that the time of simulation is linear respect to time of simulation. Conclusions: Data Exporter makes easier to start to neural simulation in NEURON reducing the steps of programming to geometry and biophysical properties of the neuron and to allow save data to next steps of analysis.

Palabras clave : Data Exporter; Computational simulation tool; NEURON's programming language hoc; Complex neuronal geometry; Action potentials.

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