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Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process system has been studied mostly with single input. However, multiple input is required in many applications such as liquid state machines or neural prosthetics. We propose a simple multiple-input spike based adaptive filter which is based on an integrate-and-fire neuron model. The optimal closed solution is derived, and thedoi:10.1109/ijcnn.2007.4371276 dblp:conf/ijcnn/ParkPPH07 fatcat:uagvbmnzfbehdm3o4aatvtr2h4