papersSEP 11 04:00 UTC
Gradient-Based Spike-Timing Rule Targets Feedback Learning in Neural Microcircuits
A new arXiv preprint proposes a learning rule that combines gradient-based optimization with spike-timing-dependent plasticity to address the feedback (credit assignment) problem in neural microcircuits. The work frames how local spike timing could solve temporal credit assignment, a long-standing question in neuroscience and a challenge for spiking neural networks. The paper claims the approach offers a solution that is both gradient-based and grounded in local spike timing.