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Emergence of simple-cell receptive field properties by learning a sparse code for natural images

Authors: Bruno A. Olshausen, David J. Field - Nature 1996 cited by 5,870

Receptive fields andfunctional architecture…Receptive fields and functional architecture of monkey striate cortexSpatial frequencyselectivity of cells in…Spatial frequency selectivity of cells in macaque visual cortexRelations between thestatistics of natural…Relations between the statistics of natural images and the response properties of cortical cellsAn evaluation of thetwo-dimensional Gabor…An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortexSelf-Organization in aPerceptual NetworkSelf-Organization in a Perceptual NetworkForming sparserepresentations by loca…Forming sparse representations by local anti-Hebbian learningThe principal componentsof natural imagesThe principal components of natural imagesWhat Is the Goal ofSensory Coding?What Is the Goal of Sensory Coding?The statistics ofnatural imagesThe statistics of natural imagesAninformation-maximizatio…An information-maximization approach to blind separation and blind deconvolutionThe "Wake-Sleep"Algorithm for…The "Wake-Sleep" Algorithm for Unsupervised Neural NetworksAdvances in NeuralInformation Processing…Advances in Neural Information Processing Systems 37Complementary roles ofbasal ganglia and…Complementary roles of basal ganglia and cerebellum in learning and motor controlIndependent ComponentAnalysis: Principles an…Independent Component Analysis: Principles and PracticeSparse Components ofImages and Optimal…Sparse Components of Images and Optimal Atomic DecompositionsDevelopment of objectconcepts in infancy…Development of object concepts in infancy: Evidence for early learning in an eye-tracking paradigmStatistical Modeling ofPhotographic ImagesStatistical Modeling of Photographic ImagesLearning FastApproximations of Spars…Learning Fast Approximations of Sparse CodingConnectivity reflectscoding: a model of…Connectivity reflects coding: a model of voltage-based STDP with homeostasisRole of Homeostasis inLearning Sparse…Role of Homeostasis in Learning Sparse RepresentationsSelf-calibrating smoothpursuit through active…Self-calibrating smooth pursuit through active efficient codingCultured CorticalNeurons Can Perform…Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy PrincipleGENESIS: GenerativeScene Inference and…GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent RepresentationsBeyond Self-Attention:External Attention Usin…Beyond Self-Attention: External Attention Using Two Linear Layers for Visual TasksEmergence of simple-cellreceptive field…Emergence of simple-cell receptive field properties by learning a sparse code for natural imagesEarlier referencesFocus paperCiting papersOlderNewer

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