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Miguel Rodrigues

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Open access Jul 2026

Conductance-based reversal potentials in spiking recurrent neural networks enhance energy efficiency and task performance

Dale's law with reversal potentials, a core feature of biological neural networks, can render SRNNs more accurate and energy-efficient, and leads to high-performing Dalean SRNNs that substantially improve on Dalean networks without reversal potentials.

Miguel Rodrigues, Carmen Gasco-Galvez, Martin A. Vinck · Frontiers in Computational N... · 0 citations