Contributions

Journal Paper

Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing
Available in arXiv, Nov 2023.

Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
Peng Zhou, Donguk Choi, Wei D. Lu, Sung-Mo Kang, and Jason K. Eshraghian. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Nov 2022.

How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation
Sung Mo Kang, Donguk Choi, Jason K. Eshraghian, Peng Zhou, Jieun Kim, Bai Sun Kong, Xiaojian Zhu, Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Wei D. Lu, and Leon O. Chua. IEEE Transactions on Circuits and Systems–I: Regular Papers, Nov 2021.

Automatically Detecting Bregma and Lambda Points in Rodent Skull Anatomy Images
Peng Zhou, Zheng Liu, Hemmings Wu, Yuli Wang, and Shiva Abbaszadeha. PLOS ONE, Dec 2020.

Biomimetic Spiking Neural Network based on Monolayer 2D Synapse with Short-Term Plasticity for Auditory Brainstem Processing
Jieun Kim, Peng Zhou, Unbok Wi, Bo-Min Joo, Donguk Choi, Myeong-Lok Seol, SravyamPulavarthi, Linfeng Sun, Heejun Yang, Woo-Jong You, Jin-Woo Han, Sung-Mo Kang, and Bai-Sun Kong. In preparation.

Conference Paper

Scalable MatMul-free Language Modeling(https://arxiv.org/abs/2406.02528)
Available in arXiv, June 2024.

Eagle and finch: Rwkv with matrix-valued states and dynamic recurrence
Available in arXiv, June 2024.

Rwkv: Reinventing rnns for the transformer era
Empirical Methods in Natural Language Processing . EMNLP 2023.

Backpropagating Errors Through Memristive Spiking Neural Networks
IEEE International Symposium on Circuits and Systems. ISCAS 2023.

A Fully Memristive Spiking Neural Network with Unsupervised Learning
IEEE International Symposium on Circuits and Systems. ISCAS 2022.

Towards Real-Time Machine Learning for Anomaly Detection
IEEE Nuclear Science Symposium and Medical Imaging Conference. NSS/MIC 2020.

Open-source Framework

snnTorch: a Python package for trainig spiking neural networks, compatible with GPUs and Graphcore’s Intelligence Processing Units (IPUs).

Rockpool: a Python package for training spiking neural networks, compatible with GPUs and Synsense’s Xylo.

Open-source Chip

Spiking Neural Network Accelerator: Binarized spiking neural network ASIC with adaptive threshold and recurrent connections.

Patent

CN/WO/US: Pulse event decision device, method, chip and electronic equipment
Peng Zhou, Yannan Xing, Ning Qiao, Yudi Ren, Zheng Ke, Yanlun Hu, Bo Li, Yuhang Liu, Xiwen Gong, Sadique Sheik, Dylan Richard Muir.

CN/WO/US: Splitting normalization method and device, audio feature extractor and chip
Huaqiu Zhang, Dylan Richard Muir, Saeid Haghighatshoar, Hao Liu, Peng Zhou, Ning Qiao.