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Credit Assignment in Neural Networks through Deep Feedback Control
[article]
2022
arXiv
pre-print
The success of deep learning sparked interest in whether the brain learns by using similar techniques for assigning credit to each synaptic weight for its contribution to the network output. However, the majority of current attempts at biologically-plausible learning methods are either non-local in time, require highly specific connectivity motives, or have no clear link to any known mathematical optimization method. Here, we introduce Deep Feedback Control (DFC), a new learning method that
arXiv:2106.07887v3
fatcat:sacn6ls4qfezlctxup6mhh664e