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20242026
most citedHybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces

6 citations · 6 across the 4 of their papers we have counts for

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2 papers · 1 filter

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…

cs.LG2026

DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data

Jann Krausse, Zhe Su, Kyrus Mama +4

Spatiotemporal information is at the core of diverse sensory processing and computational tasks. Feed-forward spiking neural networks can be used to solve these tasks while offerin…