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Journal Articles
- 2025
[j7]Tengjun Liu
, Yansong Chua, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Tuoru Li, Guihua Wan, Zijun Wan, Weidong Chen, Shaomin Zhang:
motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains. Biomed. Signal Process. Control. 99: 106745 (2025)- 2023
- [j6]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - 2022
- [j5]Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo:
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. 2(4): 44017 (2022) - [j4]Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li:
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1947-1958 (2022) - 2020
- [j3]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li:
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - 2016
- [j2]Yansong Chua, Abigail Morrison:
Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation. Frontiers Comput. Neurosci. 10: 76 (2016) - 2015
- [j1]Yansong Chua, Moritz Helias, Abigail Morrison:
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime. Frontiers Comput. Neurosci. 9: 91 (2015)
Conference and Workshop Papers
- 2024
- [c15]Yu Du, Xu Liu, Yansong Chua:
Spiking Structured State Space Model for Monaural Speech Enhancement. ICASSP 2024: 766-770 - 2023
- [c14]Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang:
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains. EMBC 2023: 1-4 - [c13]Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren:
Adaptive Axonal Delays in Feedforward Spiking Neural Networks for Accurate Spoken Word Recognition. ICASSP 2023: 1-5 - 2022
- [c12]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022 - 2020
- [c11]Laxmi R. Iyer, Yansong Chua:
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. IJCNN 2020: 1-8 - [c10]Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu:
Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network. IROS 2020: 9890-9895 - 2019
- [c9]Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li:
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. AAAI 2019: 1327-1334 - [c8]Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Neural Population Coding for Effective Temporal Classification. IJCNN 2019: 1-8 - [c7]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [c6]Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN 2019: 1-8 - [c5]Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li:
Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH 2019: 3667-3668 - 2018
- [c4]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. ICARCV 2018: 1520-1524 - [c3]Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua:
An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. IJCNN 2018: 1-8 - [c2]Jibin Wu, Yansong Chua, Haizhou Li:
A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. IJCNN 2018: 1-8 - 2017
- [c1]Yansong Chua, Cheston Tan:
Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. AAAI Spring Symposia 2017
Informal and Other Publications
- 2024
- [i18]Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - [i17]Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke:
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks. CoRR abs/2409.01762 (2024) - 2023
- [i16]Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren:
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition. CoRR abs/2302.08607 (2023) - [i15]Tengjun Liu, Yansong Chua, Yiwei Zhang, Yuxiao Ning, Pengfu Liu, Guihua Wan, Zijun Wan, Shaomin Zhang, Weidong Chen:
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation. CoRR abs/2303.07830 (2023) - [i14]Yu Du, Xu Liu, Yansong Chua:
Spiking Structured State Space Model for Monaural Speech Enhancement. CoRR abs/2309.03641 (2023) - 2022
- [i13]Lei Jiang, Yongqing Liu, Shihai Xiao, Yansong Chua:
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks. CoRR abs/2208.06918 (2022) - [i12]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022) - 2021
- [i11]Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo:
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR abs/2107.05747 (2021) - 2020
- [i10]Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li:
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR abs/2003.11837 (2020) - 2019
- [i9]Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua:
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. CoRR abs/1901.00128 (2019) - [i8]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - [i7]Roshan Gopalakrishnan, Yansong Chua, Ashish Jith Sreejith Kumar:
Hardware-friendly Neural Network Architecture for Neuromorphic Computing. CoRR abs/1906.08853 (2019) - [i6]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR abs/1907.01167 (2019) - [i5]Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah:
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. CoRR abs/1909.01302 (2019) - [i4]Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li:
Neural Population Coding for Effective Temporal Classification. CoRR abs/1909.08018 (2019) - [i3]Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR abs/1912.12419 (2019) - 2018
- [i2]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying neuromorphic data using a deep learning framework for image classification. CoRR abs/1807.00578 (2018) - [i1]Laxmi R. Iyer, Yansong Chua, Haizhou Li:
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain. CoRR abs/1807.01013 (2018)
Coauthor Index
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