Title
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks Maximilian Baronig Yeganeh Bahariasl Ozan Özdenizci Robert Legenstein 23 0 0 17 Jun 2025
Energy-Efficient Deep Reinforcement Learning with Spiking Transformers Mohammad Irfan Uddin Nishad Tasnim Md Omor Faruk Zejian Zhou OffRL AI4CE 54 0 0 20 May 2025
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks Kejie Zhao Wenjia Hua Aiersi Tuerhong Luziwei Leng Yuxin Ma Qinghua Guo 544 0 0 08 May 2025
Precision Neural Network Quantization via Learnable Adaptive Modules Wenqiang Zhou Zhendong Yu Xianglong Liu Jiaming Yang Rong Xiao Tao Wang Chenwei Tang Jiancheng Lv MQ 67 0 0 24 Apr 2025
The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey Wei-Ting Chen 94 1 0 30 Nov 2024
Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks Yi Yang Richard M. Voyles Haiyan H. Zhang Robert A. Nawrocki 34 7 0 20 Oct 2024
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons Nanako Kimura Ckristian Duran Zolboo Byambadorj Ryosho Nakane Tetsuya Iizuka 31 0 0 18 Sep 2024
A Differentiable Approach to Multi-scale Brain Modeling Chaoming Wang Muyang Lyu Tianqiu Zhang Sichao He Si Wu 75 1 0 28 Jun 2024
Evolutionary Spiking Neural Networks: A Survey Shuaijie Shen Rui Zhang Chao Wang Renzhuo Huang Aiersi Tuerhong Qinghai Guo Zhichao Lu Jianguo Zhang Luziwei Leng 62 6 0 18 Jun 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 99 5 0 30 May 2024
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks Julia Gygax Friedemann Zenke 103 4 0 23 Apr 2024
Is artificial consciousness achievable? Lessons from the human brain M. Farisco K. Evers J. Changeux 85 7 0 18 Apr 2024
Neuromorphic hardware for sustainable AI data centers Bernhard Vogginger A. Rostami Vaibhav Jain Sirine Arfa Andreas Hantsch ... Ulrike Faltings Hector A. Gonzalez Chen Liu Christian Mayr Wolfgang Maaß 90 10 0 04 Feb 2024
Spiking Music: Audio Compression with Event Based Auto-encoders Martim Lisboa Guillaume Bellec 71 2 0 02 Feb 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks Yu-Zhu Guo Y. Chen 72 6 0 09 Jan 2024
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning De Ma Xiaofei Jin Shichun Sun Yitao Li Xundong Wu ... Fangchao Yang Huajin Tang Xiaolei Zhu Peng Lin Gang Pan AI4CE 142 29 0 29 Dec 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons Luke Taylor Andrew J. King N. Harper 62 7 0 19 Nov 2023
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding Qu Yang Malu Zhang Jibin Wu Kay Chen Tan Haizhou Li 63 10 0 23 Oct 2023
Stabilizing RNN Gradients through Pre-training Luca Herranz-Celotti Jean Rouat 114 1 0 23 Aug 2023
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation Jinjing Zhu Yuan Luo Xueye Zheng Hao Wang Lin Wang 65 35 0 24 Jul 2023
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection Richard Gall Deniz Kocanaogullari M. Akçakaya Deniz Erdogmus Rajkumar Kubendran 50 1 0 13 Jul 2023
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture Sahil Hassan Parker Dattilo Ali Akoglu 72 2 0 06 Jun 2023
Spike-based computation using classical recurrent neural networks Florent De Geeter D. Ernst G. Drion 56 1 0 06 Jun 2023
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks Samuel Schmidgall Joe Hays 110 5 0 02 Jun 2023
Evolving Connectivity for Recurrent Spiking Neural Networks Guan-Bo Wang Yuhao Sun Sijie Cheng Sen Song 53 5 0 28 May 2023
A method for the ethical analysis of brain-inspired AI M. Farisco Gianluca Baldassarre Emilio Cartoni A. Leach Mihai A. Petrovici A. Rosemann Arleen Salles B. Stahl Sacha Jennifer van Albada 66 3 0 18 May 2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs M. Aung Daniel Gerlinghoff Chuping Qu Liwei Yang Tian Huang Rick Siow Mong Goh Yaoyu Zhang Weng-Fai Wong 47 11 0 09 May 2023
Membrane Potential Distribution Adjustment and Parametric Surrogate Gradient in Spiking Neural Networks Siqi Wang Tee Hiang Cheng M. Lim 40 0 0 26 Apr 2023
Differentiable graph-structured models for inverse design of lattice materials Dominik Dold Derek Aranguren van Egmond AI4CE 76 13 0 11 Apr 2023
DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation Chen Song Minh Nguyen Qi-Xing Huang 57 5 0 15 Mar 2023
Ternary Quantization: A Survey Danyang Liu Xue Liu MQ 62 3 0 02 Mar 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 103 44 0 28 Feb 2023
Event-based Backpropagation for Analog Neuromorphic Hardware Christian Pehle Luca Blessing E. Arnold Eric Müller Johannes Schemmel 61 8 0 13 Feb 2023
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks Kazuma Suetake Takuya Ushimaru Ryuji Saiin Yoshihide Sawada 99 0 0 03 Feb 2023
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2 Philipp Spilger E. Arnold Luca Blessing Christian Mauch Christian Pehle Eric Müller Johannes Schemmel 36 11 0 23 Dec 2022
Intelligence Processing Units Accelerate Neuromorphic Learning P. Sun A. Titterton Anjlee Gopiani Tim Santos A. Basu Wei D. Lu Jason K. Eshraghian 47 8 0 19 Nov 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 76 0 0 18 Oct 2022
Visual Odometry with Neuromorphic Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri E. P. Frady Friedrich T. Sommer Yulia Sandamirskaya 67 7 0 05 Sep 2022
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney Khaleelulla Khan Nazeer Mark Schöne Christian Mayr David Kappel 79 20 0 13 Jun 2022
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks Luke Taylor Andrew J. King N. Harper AAML 57 9 0 30 May 2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks F. Bauer Gregor Lenz Saeid Haghighatshoar Sadique Sheik BDL 115 16 0 20 May 2022
Spikemax: Spike-based Loss Methods for Classification S. Shrestha Longwei Zhu Pengfei Sun 88 15 0 19 May 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs Ramashish Gaurav B. Tripp Apurva Narayan 88 8 0 14 May 2022
Spiking Graph Convolutional Networks Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 62 46 0 05 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 89 142 0 01 May 2022
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions A. Basu Charlotte Frenkel Lei Deng Xueyong Zhang 76 72 0 14 Mar 2022
Fault-Tolerant Neural Networks from Biological Error Correction Codes Alexander Zlokapa Andrew K. Tan J. Martyn Ila R. Fiete Max Tegmark I. Chuang 85 3 0 25 Feb 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 240 257 0 24 Feb 2022
Stabilizing Spiking Neuron Training Luca Herranz-Celotti Jean Rouat 56 3 0 01 Feb 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity Christian Pehle Sebastian Billaudelle Benjamin Cramer Jakob Kaiser Korbinian Schreiber Yannik Stradmann Johannes Weis Aron Leibfried Eric Müller Johannes Schemmel 74 139 0 26 Jan 2022