Abstract: A method, system and computer program product, for identifying anomalies in a monitored scene, the method comprising: receiving into a spiking neural network sensor readings from a capture device monitoring a scene; and outputting an indication to a change in the scene, wherein the spiking neural network comprises a multiplicity of layers, each of the multiplicity of layers comprising a neuron per substantially each pixel in a sensor capturing the monitored scene, and wherein one or more of the layers comprises a memory-like unit for comparing states occurring at a time difference.