Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise
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Correction: Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive NoiseLinking normative models of natural tasks to descriptive models of neural response.The lawful imprecision of human surface tilt estimation in natural scenes.Depth variation and stereo processing tasks in natural scenes.
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Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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P2860
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Accuracy Maximization Analysis ...... ages for Scaled Additive Noise
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Johannes Burge
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10.1371/JOURNAL.PCBI.1005281
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2017-02-08T00:00:00Z