ABSTRACT
A computational tool to study correlated neural activity is presented. SEN- NECA (Simulating Elementary Neural NEtworks for Correlation Analysis) is a web-based simulator specifically designed to simulate small networks of integrate-and-fire neurons. It implements a model neuron that can reproduce a wide scope of integrate-and-fire models by adjusting the parameter set. Launched simulations run remotely on a cluster of computers. The main features of the simulator are explained, and an example of neural activity analysis is given to illustrate the potential of this tool.
