Neural network model with dynamic weights for object searching

A new model based on the structure of V1 area in the biological visual system was presented for image searching. The model only uses the known V1 elements, such as orientation selective cells and horizontal intra-cortical connections. The knowledge, which will control the dynamic of the neurons, is represented by the chain code of the object's contour. The chain code is presented to the neural network in timing pulse form. By cooperating with the dynamic weights, only the neurons of the contour according with the object contour will reach the active state and stay there. Finally the contour that conforms to the knowledge contour emerges in the visual area, and the object is located.