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Sparse Coding Theory Of Primary Visual Cortex And Its Application

Posted on:2018-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y X LuFull Text:PDF
GTID:2428330548962447Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Mammals perception of the outside image,led to the image information in the visualpathway between transfer and extraction step by step.Retinal photoreceptor cells for image feature extraction,through the lateral geniculate body(LGN)transfer,to the change of the primary visual cortex V1 area information quantity is not big.But know from physiological experiment results,the simple cell detection is receptive field V1 area location on a particular location information,rather than from LGN transmission information obtained during the essence;And detection by the simple cell complex information and refining a step is bearing concepts.That means in simple cellular level,cellular level and complex with retinal information encoding and LGN neurons information.encoding has been different,it is to characteristics.The space of mammalian striate cortex simple cells receptive field in the electrophysiological experiments is described as local signal encoding,orientation and with common quality detector,it generate electricity for image takes on the form of a sparse distribution of output activity.Finally established the related mathematical model of sparse coding,visual analysis V1 simple cell receptive field changes,the model may also be in the future study of the visual aspects of the sparse coding play a certain reference function.
Keywords/Search Tags:Simple cell, SAILnet, E-Inet, Sparse Coding
PDF Full Text Request
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