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For questions about learning improved skills of perception from simple sensory discrimination to complex categorizations of spatial and temporal patterns relevant to real-world expertise.
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How can neuronal networks with local learning rules predict their future inputs?
Local learning rules like Contrastive Hebbian Learning, XCAL, etc. are based on the idea of strengthening edges when the neurons they connect fire simultaneously. This causes frequent patterns in the …