A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks

17 June 2025

Papers citing "A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks"

8 / 8 papers shown

Title
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields Peng Xue Wei Fang Zhengyu Ma Zihan Huang Zhaokun Zhou Yonghong Tian T. Masquelier Huihui Zhou 149 1 0 24 Jan 2025
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 326 295 0 11 Mar 2023
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales Charlotte Frenkel Giacomo Indiveri 58 100 0 20 Aug 2022
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 80 219 0 12 Mar 2021
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 146 489 0 26 Mar 2018
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 335 8,169 0 13 Aug 2016
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 67 717 0 28 Mar 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014