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cs.NE2026
An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons
Sven Nitzsche, Alexandru Ionita, Andreas Faust +2
Biological plausibility is a key concept in neuromorphic computing and spiking neural networks, yet it remains inconsistently defined and difficult to quantify. In this work, we pr…
cs.NE2026
YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
Brian Pachideh, Sven Nitzsche, Moritz Neher +5
Spiking Neural Networks (SNNs) promise significant advantages over conventional Artificial Neural Networks (ANNs) for applications requiring real-time processing of temporally spar…