Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks

•Neuroscience computational models are becoming more complex and require novel tools for fully understanding and validating the underlying biological principles.•A systematic work-flow for the configuration of spiking-neuronal-network-based learning systems is presented.•It includes advanced and further developed visualization tools for validation of the learning capabilities.•The visualization tools integrate grouped action potential information and stimulation-related events in a unified framework.•The proposed work-flow has been used to study how receptive fields emerge in a network of inhibitory interneurons.