Feature extraction using an unsupervised neural network
Neural Computation
What does the retina know about natural scenes?
Neural Computation
Information theory and visual plasticity
The handbook of brain theory and neural networks
Neural Computation
The effect of noise on a class of energy-based learning rules
Neural Computation
Formation of Direction Selectivity in Natural Scene Environments
Neural Computation
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We model a two-eye visual environment composed of natural images and study its effect on single cell synaptic modification. In particular, we study the effect of binocular cortical misalignment on receptive field formation after eye opening. We show that binocular misalignment affects principal component analysis (PCA) and Bienenstock, Cooper, and Munro (BCM) learning in different ways. For the BCM learning rule this misalignment is sufficient to produce varying degrees of ocular dominance, whereas for PCA learning binocular neurons emerge in every case.