Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective
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Three-factor learning rules in spiking neural networks (SNNs) have emerged as a crucial extension of traditional Hebbian learning and spike-timing-dependent plasticity (STDP), incorporating neuromodulatory signals to improve adaptation and learning efficiency.... ...