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Emergence of higher-level neuron properties using a hierarchical statistical distribution model
2019
Science China Technological Sciences
Essential to visual tasks such as object recognition is the formation of effective representations that generalize from specific instances of visual input. Neurons in primary visual cortex are typically hypothesized to efficiently encode image structures such as edge and textures from natural scenes. Here this paper proposed a novel hierarchical statistical distribution model to generalize higher-level neuron properties and encode distributed regularities that characterize local image regions.
doi:10.1007/s11431-018-9327-9
fatcat:4gzlnz3ufzgv3khdojbh5qis4m