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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.

arXiv Spike-timing-dependent plasticity credit assignment gradient-based optimization neural microcircuits spiking neural networks

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arXiv cs.LGA Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits ↗SEP 11 04:00 UTC