Inferring neural activity before plasticity as a foundation for learning beyond backpropagation
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DOI: 10.1038/s41593-023-01514-1
Abstract: This paper introduces ‘prospective configuration’, a new principle for learning in neural networks, which differs from backpropagation and is more efficient in learning and more consistent with data on neural activity and behavior. For both… read more here.
Keywords: credit assignment; prospective configuration; backpropagation; neural activity ... See more keywords