Simulation is used in neuroscience as a tool to improve and refine brain models. By enabling the creation of closed action-perception-cognition loops in embodied settings, the NRP allows neuroscientists to observe and analyse emergent behavioural patterns in virtual agents controlled by specific models of brain architecture and functions. This provides them with the extraordinary opportunity to test and refine these models iteratively, without the many approximations entailed by simulating the brain decoupled from the body.
Neuroscientists are using the NRP for:
- Replicating a sensory-motor experiment in simulation
- Iterative testing and refining of functional brain models
- Implementing learning paradigms in large-scale parallel simulations