Receptive fields of neurons play various rolesin biological neural networks. Based on a receptive field withthe function of Hough transform, a spiking neural networkmodel is proposed to detect straight lines in a visual image.Through the network, straight lines transform tocorresponding neurons with high firing rates in the outputneuron array. Simulation results show that straight lines canbe detected by the network and firing rates of thecorresponding neurons are referred to lengths of the lines. Thismodel can be used to explain how a spiking neuron-basednetwork can detect straight lines, and furthermore the modelcan be used in an artificial intelligent system.
|Title of host publication||Unknown Host Publication|
|Number of pages||5|
|Publication status||Published (in print/issue) - 28 Dec 2009|
|Event||2009 Fifth International Conference on Natural Computation - Tianjian, China|
Duration: 28 Dec 2009 → …
|Conference||2009 Fifth International Conference on Natural Computation|
|Period||28/12/09 → …|