Abstract:Sparsity plays two very important roles in sensory neural information processing. At the cellular level, the sparse activation of cells within a population aids in minimizing the total metabolic cost required to represent sensory stimuli. At the population level, sparse codes provide a concise representation of complex stimuli, enabling efficient learning and storage/recall of memories. In models for sparse coding in the primary visual cortex (V1), the receptive fields of simple cells in the input layer of V1 … Show more
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