Martin A. Vinck

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.