A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation. (arXiv:2205.07292v2 [cs.NE] UPDATED)

Several recent studies attempt to address the biological implausibility of
the well-known backpropagation (BP) method. While promising methods such as
feedback alignment, direct feedback alignment, and their variants like
sign-concordant feedback alignment tackle BP's weight transport problem, their
validity remains controversial owing to a set of other unsolved issues. In this
work, we answer the question of whether it is possible to realize random
backpropagation solely based on mechanisms observed in neuroscience. We propose
a hypothetical framework consisting of a …

arxiv backpropagation computational framework random