Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway.
Paris-Saclay Institute of Neuroscience (NeuroPSI), Centre National de la Recherche Scientifique, 91198 Gif-sur-Yvette, France; European Institute for Theoretical Neuroscience, 75012 Paris, France.
Neuron. 2019 May 22;102(4):735-744. doi: 10.1016/j.neuron.2019.03.027.
A key element of the European Union's Human Brain Project (HBP) and other large-scale brain research projects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging the scales between the neuron and system levels in the brain, and why a set of brain simulators based on neuron models at different levels of biological detail should therefore be developed. To allow for systematic refinement of candidate network models by comparison with experiments, the simulations should be multimodal in the sense that they should predict not only action potentials, but also electric, magnetic, and optical signals measured at the population and system levels.
欧盟的人脑项目(HBP)和其他大规模脑研究项目的一个关键要素是对大规模神经元模型网络进行模拟。在这里,我们认为,此类模拟对于弥合大脑中神经元和系统水平之间的尺度差距很可能是不可或缺的,因此应该开发一组基于不同生物学细节水平的神经元模型的脑模拟器。为了允许通过与实验比较来对候选网络模型进行系统细化,模拟应该是多模式的,即它们不仅应该预测动作电位,还应该预测在群体和系统水平上测量的电、磁和光信号。