Studying how brain cells respond to signals from their neighbors can aid the understanding of cognition and development. However, experimentally measuring the brain's activity is complicated. Neuron models provide a non-invasive way to investigate the brain, but most existing models are either computationally intensive or cannot model complex neuronal responses. Recently, a team has used a computationally simple neuron model to simulate some of the complex responses of neurons.
