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linear-nonlinear models
linear-nonlinear models
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neural feature selectivity
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signal-to-noise ratio
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information maximization
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least squares fitting
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feature selectivity
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renyi divergence
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kullback-leibler divergence
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mutual information
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neural encoding
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Papers
Better than least squares: comparison of objective functions for estimating linear-nonlinear models
NeurIPS 2007
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