Markram, HenryGerstner, WulframGewaltig, Marc-OliverRössert, ChristianMuller, Eilif BenjaminPozzorini, ChristianSegev, IdanKing, James GonzaloErö, CsabaWybo, Willem2019-12-052019-12-052019-12-052018https://infoscience.epfl.ch/handle/20.500.14299/163689The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron to an other spatially-extended neuron along the arborized projection, defining a second temporal filter for the conveyance of input from yet another neuron to the spatially-extended neuron along the arborized projection, replacing, in the neural network model, the first, spatially-extended neuron with a first, spatially-constrained neuron and the arborized projection with a first connection extending between the first, spatially-constrained neuron and the second neuron, wherein the first connection filters input from the second neuron in accordance with the first temporal filter and a second connection extending between the first spatially-constrained neuron and the third neuron.patentUS11983620US2022230052US11301750US201828571663670970