An approximation of the error back-propagation algorithm in a predictive coding network with local Hebbian synaptic plasticity
To efficiently learn from feedback, cortical networks need to update synaptic weights on multiple levels of cortical hierarchy. An effective and well-known algorithm for computing such changes in synaptic weights is the error back-propagation algorithm. However, in the back-propagation algorithm, th...
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| Format: | Journal article |
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Massachusetts Institute of Technology Press
2017
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