A Performance Evaluation of A Parallel Biological Network Microcircuit in Neuron

critical issue in biological neural network modelling is the parameter tuning of a model by means ofthe numerical simulations to map a real scenario. This approach requires a huge amount ofcomputational resources to assesses the impact of every model value that, generally, changes thenetwork response. In this paper we analyse the performance of a CA1neural network microcircuit model for pattern recognition. Moreover, we investigate its scalability andbenefits on multicore and on parallel and distributed architectures