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J. Neurosci. Methods · Jun 2004
A computational tool to simulate correlated activity in neural circuits.
- F J Veredas, F J Vico, and J M Alonso.
- Departamento de Lenguajes y Ciencias de la Computación, ETSI Informática, Universidad de Málaga, Bulevar de Louis Pasteur s/n, E-29071 Málaga, Spain. fvn@geb.uma.es
- J. Neurosci. Methods. 2004 Jun 15; 136 (1): 23-32.
AbstractA new computational approach to study correlated neural activity is presented. Simulating Elementary Neural NEtworks for Correlation Analysis (SENNECA) is a specific-purpose simulator oriented to small circuits of realistic neurons. The model neuron that it implements can reproduce a wide scope of integrate-and-fire models by simply adjusting the parameter set. Three different distributions of SENNECA are available: an easy-to-use web-based version, a Matlab (Windows and Linux) script, and a C++ class library for low-level coding. The main features of the simulator are explained, and several examples of neural activity analysis are given to illustrate the potential of this new tool.
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