In research, simulation acts as the main conduit for interchange between experiment and theory. It is a powerful instrument in our endeavour to understand the human brain, which is a complex dynamic system with a multi-scale architecture, further complicated by significant differences between one person’s brain and another’s. The complexity and versatility of the brain, and the variations from one brain to another, are major scientific challenges, driving the development of simulation technology

Neuroscientists have different views on how to best tackle the intricacy of complex systems.

Neuroscientists have different views on how to best tackle the intricacy of such complex systems, advocating approaches that range from holistic to minimalistic, from the notion that only realistic models can account for the inner workings of our brains, to the assumption that only systematic model simplification will allow us to uncover fundamental principles. Likewise, brain models differ in size, complexity and level of detail. EBRAINS Simulation services offer technical solutions for brain researchers to conduct sustainable simulation studies and build upon prior work, and the means to share their results. The services provide integrated workflows for model creation, simulation and validation, including data analysis and visualisation. The simulation engines cover the entire spectrum of levels of description ranging from cellular to network to whole brain level.



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