 Neurological research data varies by biological organisation schemes, species studied, and by developmental stages, making it difficult to collectively use the data to replicate the brain in a model that acts as a single system.Other obstacles include engineering problems involving power consumption, memory, and storage.For example, detailed neuron representations are very computationally expensive, and whole brain simulation is at the leading edge of our computational capability.