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Burst-based temporal encoding yields the highest performance in biological neural network classification tasks, achieving up to 95.6% accuracy compared to substantially lower performance from rate- and phase-based approaches

Neural and Evolutionary Computing28 Jul 2026

http://arxiv.org/abs/2607.13644v1