3 papers
cs.NE2026
NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training
Zhengzheng Tang
Spiking Neural Networks (SNNs) promise energy-efficient computing through event-driven sparsity, yet all existing approaches sacrifice accuracy by approximating continuous values w…
cs.ET2025
The Native Spiking Microarchitecture: From Iontronic Primitives to Bit-Exact FP8 Arithmetic
Zhengzheng Tang
The 2025 Nobel Prize in Chemistry for Metal-Organic Frameworks (MOFs) and recent breakthroughs by Huanting Wang's team at Monash University establish angstrom-scale channels as pro…
cs.NE2024
BrainTransformers: SNN-LLM
Zhengzheng Tang, Eva Zhu
This study introduces BrainTransformers, an innovative Large Language Model (LLM) implemented using Spiking Neural Networks (SNN). Our key contributions include: (1) designing SNN-…