GHL combines local Oja's rule with competitive learning and a global sign signal to outperform prior Hebbian methods and narrow the performance gap with backpropagation on large-scale tasks.
Competi- tive Hebbian learning through spike-timing-dependent synap- tic plasticity,
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Hebbian Learning with Global Direction
GHL combines local Oja's rule with competitive learning and a global sign signal to outperform prior Hebbian methods and narrow the performance gap with backpropagation on large-scale tasks.