1994 Special Issue: Modeling visual recognition from neurobiological constraints
Neural Networks - Special issue: models of neurodynamics and behavior
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchial self-organization of minicolumnar receptive fields
Neural Networks - 2004 Special issue: New developments in self-organizing systems
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Neural Computation
Sparse approximation of images inspired from the functional architecture of the primary visual areas
EURASIP Journal on Applied Signal Processing
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By investigating the second-order statistics of Gabor wavelet responses derived from natural images, we show that collinearity and parallelismare conspicuous relations. We give a precise mathematical characterization of these Gestalt principles by the conditional probability of two responses.Essential for our investigations is a non-linear transformation,initially utilized within the object recognition system [5], which transforms continuous Gabor wavelet responsesinto a binary code indicating the presence or absence oflocal oriented line segments.