Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware

16 January 2016

Papers citing "Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware"

31 / 31 papers shown

Title
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation Pranav Ramesh Gopalakrishnan Srinivasan 36 0 0 03 May 2025
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 56 27 0 27 Jun 2024
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator Alejandro Linares-Barranco Luciano Prono Robert Legenstein Giacomo Indiveri Charlotte Frenkel 21 1 0 21 May 2024
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Darren Dancey 58 1 0 26 Apr 2024
Spike-based Neuromorphic Computing for Next-Generation Computer Vision Md. Sakib Hasan Catherine D. Schuman Zhongyang Zhang Tauhidur Rahman Garrett S. Rose 36 0 0 15 Oct 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 36 22 0 23 Dec 2022
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision Gourav Datta Zeyu Liu Md. Abdullah-Al Kaiser Souvik Kundu Joe Mathai Zihan Yin Ajey P. Jacob Akhilesh R. Jaiswal P. Beerel 26 12 0 21 Dec 2022
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations Qian Zhang Adar Kahana George Karniadakis P. Stinis 16 8 0 17 Nov 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Xing-Hua Yao Fanrong Li Zitao Mo Jianguo Cheng 24 82 0 25 Oct 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 93 10 0 23 Oct 2022
In the realm of hybrid Brain: Human Brain and AI Hoda Fares Margherita Ronchini M. Zamani H. Farkhani F. Moradi 31 5 0 04 Oct 2022
Spikemax: Spike-based Loss Methods for Classification S. Shrestha Longwei Zhu Pengfei Sun 23 15 0 19 May 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 31 75 0 11 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 129 245 0 24 Feb 2022
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 48 27 0 26 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 17 14 0 16 Jul 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 30 185 0 13 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 33 47 0 11 Jun 2021
Spiking neural state machine for gait frequency entrainment in a flexible modular robot Alex Spaeth Maryam Tebyani D. Haussler M. Teodorescu 10 12 0 14 Jul 2020
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking Philippe Reiter G. R. Jose Spyridon Bizmpikis Ionela-Ancuta Cîrjila 19 1 0 10 Jul 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 56 113 0 04 May 2020
Compiling Spiking Neural Networks to Neuromorphic Hardware Shihao Song Adarsha Balaji Anup Das Nagarajan Kandasamy J. Shackleford 19 41 0 07 Apr 2020
SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform Shiming Li Shasha Guo Limeng Zhang Ziyang Kang Shiying Wang Wei Shi Lei Wang Weixia Xu 30 23 0 31 Mar 2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware Guangzhi Tang Neelesh Kumar Konstantinos Michmizos 8 78 0 02 Mar 2020
Fast and energy-efficient neuromorphic deep learning with first-spike times Julian Goltz Laura Kriener A. Baumbach Sebastian Billaudelle O. Breitwieser ... Á. F. Kungl Walter Senn Johannes Schemmel K. Meier Mihai A. Petrovici 35 126 0 24 Dec 2019
Mapping Spiking Neural Networks to Neuromorphic Hardware Adarsha Balaji Anup Das Yuefeng Wu Khanh Huynh Francesco DellÁnna Giacomo Indiveri J. Krichmar N. Dutt S. Schaafsma F. Catthoor 39 114 0 04 Sep 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 21 25 0 23 Aug 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation Iulia Comsa Krzysztof Potempa Luca Versari T. Fischbacher Andrea Gesmundo J. Alakuijala 23 174 0 30 Jul 2019
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning Georgios Detorakis Sadique Sheik C. Augustine Somnath Paul Bruno U. Pedroni N. Dutt J. Krichmar Gert Cauwenberghs Emre Neftci 33 29 0 29 Sep 2017
A Survey of Neuromorphic Computing and Neural Networks in Hardware Catherine D. Schuman T. Potok Robert M. Patton J. Birdwell Mark E. Dean Garrett S. Rose J. Plank 17 685 0 19 May 2017
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 17 714 0 28 Mar 2016