Unsupervised learning method to extract object locations from local visual signals

In order to acknowledge the object location or size, one has to integrate visual signals from many local retinal neurons. In this paper the authors propose an unsupervised learning method to realize this ability using a temporal smoothness assumption. The authors have confirmed by simulation that using the learning method, one can extract an object location or size in a simple environment