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An Approximation of the Error Backpropagation 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 backpropagation algorithm. However, in this algorithm, the change in synap...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467749/ https://www.ncbi.nlm.nih.gov/pubmed/28333583 http://dx.doi.org/10.1162/NECO_a_00949 |