Event-driven spiking convolutional neural network

The invention relates to an event-driven spiking convolutional neural network, comprising a plurality of layers, wherein each layer comprises - a kernel module configured to store and to process in an event-driven fashion kernel values of at least one convolution kernel, - a neuron module configured to store and to process in an event-driven fashion neuron states of neurons of the network, and particularly to output spike events generated from the updated neurons, - a memory mapper configured to determine neurons to which an incoming a spike event from a source layer projects to by means of a convolution with the at least one convolution kernel and wherein neuron states of said determined neurons are to be updated with applicable kernel values of the at least one convolution kernel, wherein the memory mapper is configured to process incoming spike events in an event-driven fashion.