ORIGINAL RESEARCH
Accepted on 22 Sep 2025
Balancing Accuracy and Efficiency: Co-Design of Hybrid Quantization and Unified Computing Architecture for Spiking Neural Networks
doi 10.3389/fnins.2025.1665778
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- Frontiers in Neuroscience
- Neuromorphic Engineering
- Research Topics
- Neuromorphic Computing and AI for Energy-Efficient and Adaptive Edge Intelligence
Neuromorphic Computing and AI for Energy-Efficient and Adaptive Edge Intelligence
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