Nonlinear ideal observation and recurrent preprocessing in perceptual learning

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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

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Hierarchical models of object recognition in cortex

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Clustered intrinsic connections in cat visual cortex

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Task difficulty and the specificity of perceptual learning

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The time course of learning a visual skill

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The Neural Basis of Perceptual Learning

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A saliency map in primary visual cortex

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Vernier acuity, crowding and cortical magnification

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Simple models for reading neuronal population codes.

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Fast Perceptual Learning in Visual Hyperacuity

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Intrinsic laminar lattice connections in primate visual cortex

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Attentional control of early perceptual learning.

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Reading population codes: a neural implementation of ideal observers

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Spatial configurations for visual hyperacuity

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Learning to see: experience and attention in primary visual cortex

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Efficient computation and cue integration with noisy population codes

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Improvement in vernier acuity with practice

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Fast perceptual learning in hyperacuity

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Statistically Efficient Estimation Using Population Coding

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Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex

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Specificity of learning curvature, orientation, and vernier discriminations

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Modeling perceptual learning: difficulties and how they can be overcome

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Discrimination thresholds for channel-coded systems

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Human Pattern Recognition: Parallel Processing and Perceptual Learning

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Models of Perceptual Learning in Vernier Hyperacuity

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The use of different cues in vernier acuity

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