Unlike experimental neuroscientists who deal with real–life neurons, computational neuroscientists use model simulations to investigate how the brain functions. While many computational neuroscientists use simplified mathematical models of neurons, researchers in the Computational Neuroscience Unit at the Okinawa Institute of Science and Technology Graduate University (OIST) develop software that models neurons to the detail of molecular interactions with the goal of eliciting new insights into neuronal function.

Applications of the software were limited in scope up until now because of the intense computational power required for such detailed neuronal models, but recently Dr. Weiliang Chen, Dr. Iain Hepburn, and Professor Erik De Schutter published two related papers in which they outline the accuracy and scalability of their new high–speed computational software, “Parallel STEPS”. The combined findings suggest that Parallel STEPS could be used to reveal new insights into how individual neurons function and communicate with each other.

Dr. Hepburn and Dr. Chen from OIST’s Computational Neuroscience Unit, led by Professor Erik De Schutter, are actively collaborating with the Human Brain Project, a world–wide initiative based at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, to develop a more robust version of Parallel STEPS that incorporates electric field simulation of cell membranes.

So far STEPS is only realistically capable of modeling parts of neurons but with the support of Parallel STEPS, the Computational Neuroscience Unit hopes to develop a full–scale model of a whole neuron and subsequently the interactions between neurons in a network. By collaborating with the EPFL team and by making use of the IBM ‘Blue Gene/Q’ supercomputer located there, they aim to achieve these goals in the near future.

“Thanks to modern supercomputers we can study molecular events within neurons in a much more transparent way than before,” says Prof. De Schutter. “Our research opens up interesting avenues in computational neuroscience that links biochemistry with electrophysiology for the first time.”