Spike to Spike Model and Applications: A biological plausible approach for the motion processing

摘要: We propose V1 and MT functional models for biological motion recognition. Our model transforms a video stream into spike trains through local detectors. The are the inputs of spiking network. Each entity in network corresponds to simplified an cell. From cells map velocity distribution is built representing sequence. Biological plausibility both discused detail paper. In order show efficiency these models, maps here obtained used recognition task. ran experiments using two databases Giese Weizmann, containing (march, walk) ten (e.g., march, jump, run) different classes, respectively. results revealed that proposed could be as reliable representation.