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Neural Network Approaches to Visual Motion Perception

science China Chemistry 1994年第2期37卷 177-189页

作者：郭爱克杨先一 Laboratory of Visual Information Processing Institute of Biophysics Academia Sinica Beijing 100101 PRC)

This paper concerns certain difficult problems in image processing and perception: neuro-computation of visual motion information. The first part of this paper deals with the spatial physiological integration by the figure-ground discrimination neural network in the visual system of the fly. We have outlined the fundamental organization and algorithms of this neural network, and mainly concentrated on the results of computer simulations of spatial physiological integration. It has been shown that the gain control mechanism , the nonlinearity of synaptic transmission characteristic , the interaction between the two eyes , and the directional selectivity of the pool cells play decisive roles in the spatial physiological integration. In the second part, we have presented a self-organizing neural network for the perception of visual motion by using a retinotopic array of reichardt's motion detectors and Kohonen's self-organizing maps. It .has been demonstrated by computer simulations that the network is able to learn to solve the ambiguities given by local motion detection mechanism. The resultant self-organized configuration in the output layer is resembling direction selective columns which first appear in area MT of the primate visual system. It has been explored that the spatio-temporal coherences, mapping, cooperation, competition, and Hebb rule are the basic neural principles for visual motion perception.

关键词： reichardt’s algorithm figure-ground discrimination Kohonen’s algorithm and self organization.

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A MULTILAYER FEEDFORWARD NEURAL NETWORK MODEL FOR VIsUAL MOTION PERCEPTION

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Journal of Electronics(China) 1992年第4期9卷 296-304页

作者：杨先一郭爱克 Laboratory of Visual Information Processing Institute of BiophysicsAcademia SinicaBeijing

The local visual motion detection mechanism used in the visual systems of primatescan only sense the motion component oriented perpendicularly to the contrast gradient of thebrightness *** the visual system of higher animals can adaptively determine the actualdirection of motion through a learning *** this paper a multilayered feedforward neuralnetwork model for perception of visual motion is *** model employs ***’selementary motion detectors array and ***’s self-organizing feature *** explored theself-organizing principles for perception of visual *** computer simulations show thatthis neural network is able to recognize the true direction of motion through an unsupervisedlearning *** addition,the neurons with the same or similar motion direction selectivitytend to appear in“functional columns”which seem to be qualitatively similar to the corticalmotion columns observed by electrophysiological and cytohistochemical studies in certain higherareas such as *** proves that motion-detection by spatio-temporal coherences,mapping,co-operation,competition,and Hebb rule may be the basic principles for the self-organization ofvisual motion perception networks.

关键词： Neural network Motion perception self-organization reichardt’s algorithm Kohonen’s algorithm

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