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We propose and construct an opto-electronic self-organizing neural network able to create a topological map from a learning set of vectors. After the iterative presentation of all vectors, the input of one vector activates a few neurons of the 2D output whose positions indicate the correlation of this vector with the other vectors of the learning set. The system benefits from the specific kinetics...