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cs.LG2023
Prime and Modulate Learning: Generation of forward models with signed back-propagation and environmental cues
Sama Daryanavard, Bernd Porr
Deep neural networks employing error back-propagation for learning can suffer from exploding and vanishing gradient problems. Numerous solutions have been proposed such as normalis…
cs.LG2021
Sign and Relevance Learning
Sama Daryanavard, Bernd Porr
Standard models of biologically realistic or biologically inspired reinforcement learning employ a global error signal, which implies the use of shallow networks. On the other hand…
cs.LG2020
Closed-loop deep learning: generating forward models with back-propagation
Sama Daryanavard, Bernd Porr
A reflex is a simple closed loop control approach which tries to minimise an error but fails to do so because it will always react too late. An adaptive algorithm can use this erro…