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Kernel Heterogeneity Improves Sparseness of Natural Images Representations

By Hugo Ladret and others
Both biological and artificial neural networks inherently balance their performance with their operational cost, which balances their computational abilities. Typically, an efficient neuromorphic neural network is one that learns representations that reduce the redundancies and dimensionality of its input. This is for instance achieved in sparse coding, and sparse representations... Show more
December 22, 2023
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Kernel Heterogeneity Improves Sparseness of Natural Images Representations
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