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...
| Hlavní autoři: | , |
|---|---|
| Médium: | Journal article |
| Vydáno: |
Massachusetts Institute of Technology Press
2017
|