Simplification of spiking neural network models
The 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.
63670970
Ecole Polytechnique Federale De Lausanne (EPFL)
Patent number | Country code | Kind code | Date issued |
US2024370713 | US | A1 | 2024-11-07 |
Priority number | Priority date |
US202418632704 | 2024-04-11 |
Application number | Application Date |
US202418632704 | 2024-04-11 |