Attaining and maintaining criticality in a neuronal network model

► We propose a neural network model with short-term and long-term synaptic plasticity. ► We examine the criticality of the model by various scaling tests. ► We find that short-term plasticity is responsible for attaining the criticality. ► The criticality attained by short-term plasticity is unsustainable to perturbation. ► Long-term metaplasticity allows the system to maintain criticality after perturbation.