Markram, HenryGerstner, WulframGewaltig, Marc-OliverRossert, Christian A.Muller, Eilif BenjaminPozzorini, Christian AntonioSegev, IdanKing, James GonzaloErö, CsabaWybo, Willem Anna Mark2025-01-072025-01-072025-01-072024-11-07epodoc:US2024370713https://infoscience.epfl.ch/handle/20.500.14299/242559The 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.patent::utility modelUS2024370713US20241863270463670970US202418632704