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most citedSpiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding

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eess.SP2026

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr

Spiking Neural Networks (SNNs) offer an energy efficient alternative to conventional Artificial Neural Networks (ANNs) but typically still require a large number of parameters. Thi…