A method for realizing an artificial neural network via an electronic integrated circuit (FPGA), wherein artificial neurons grouped into different interlinked layers for the artificial neural network, where a functional description is created for each neuron of the artificial neural network, taking into account a specifiable starting weighting, a synthesis is performed for each neuron based on the associated functional description with the associated specified starting weighting, a network list is determined as the synthesis result, in which at least a base element and a starting configuration belonging to the base element are stored for each neuron, a base element is formed as a lookup table (LUT) unit and an associated dynamic configuration cell, in which a current configuration for the LUT unit or the base element is stored, and where the network list is implemented as a starting configuration of the artificial neural network in the electronic integrated circuit.