ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.11231
  4. Cited By
Accurate online training of dynamical spiking neural networks through
  Forward Propagation Through Time

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

20 December 2021
Bojian Yin
Federico Corradi
S. Bohté
ArXivPDFHTML

Papers citing "Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time"

28 / 28 papers shown
Title
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning
Biswadeep Chakraborty
Saibal Mukhopadhyay
40
0
0
02 Apr 2025
GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
Stijn Groenen
Marzieh Varposhti
Mahyar Shahsavari
46
0
0
20 Mar 2025
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
Jamie Lohoff
Anil Kaya
Florian Assmuth
Emre Neftci
40
0
0
20 Jan 2025
Contemporary implementations of spiking bio-inspired neural networks
Contemporary implementations of spiking bio-inspired neural networks
Andrey E. Schegolev
Marina V. Bastrakova
Michael A. Sergeev
Anastasia A. Maksimovskaya
Nikolay V. Klenov
Igor I. Soloviev
28
1
0
23 Dec 2024
STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
Haoran Gao
Xichuan Zhou
Yingcheng Lin
Min Tian
Liyuan Liu
Cong Shi
26
0
0
17 Nov 2024
Advancing Training Efficiency of Deep Spiking Neural Networks through
  Rate-based Backpropagation
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Chengting Yu
Lei Liu
Gaoang Wang
Erping Li
Aili Wang
18
1
0
15 Oct 2024
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in
  Spiking Neural Networks
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
Yulong Huang
Zunchang Liu
Changchun Feng
Xiaopeng Lin
Hongwei Ren
Haotian Fu
Yue Zhou
Hong Xing
Bojun Cheng
25
0
0
04 Oct 2024
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking
  Neural Networks
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks
Xiao Li
Xieyuanli Chen
Ruibin Guo
Yujie Wu
Zongtan Zhou
Fangwen Yu
Huimin Lu
18
1
0
28 Aug 2024
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking
  State Space Models
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Shuaijie Shen
Chao Wang
Renzhuo Huang
Yan Zhong
Qinghai Guo
Zhichao Lu
Jianguo Zhang
Luziwei Leng
29
7
0
27 Aug 2024
Energy-Efficient Spiking Recurrent Neural Network for Gesture
  Recognition on Embedded GPUs
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs
Marzieh Varposhti
Mahyar Shahsavari
Marcel van Gerven
15
1
0
23 Aug 2024
The Role of Temporal Hierarchy in Spiking Neural Networks
The Role of Temporal Hierarchy in Spiking Neural Networks
Filippo Moro
Pau Vilimelis Aceituno
Laura Kriener
Melika Payvand
AI4CE
32
2
0
26 Jul 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural
  Networks
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
19
0
0
17 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
24
2
0
08 Jul 2024
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning
  through Integration of Local and Global Plasticity
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity
Jiangrong Shen
Wenyao Ni
Qi Xu
Gang Pan
Huajin Tang
CLL
25
0
0
04 Jun 2024
Quantized Context Based LIF Neurons for Recurrent Spiking Neural
  Networks in 45nm
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
S.S. Bezugam
Yihao Wu
JaeBum Yoo
D. Strukov
Bongjin Kim
25
0
0
28 Apr 2024
SparseProp: Efficient Event-Based Simulation and Training of Sparse
  Recurrent Spiking Neural Networks
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
Rainer Engelken
19
2
0
28 Dec 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking
  neurons
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor
Andrew J. King
N. Harper
25
6
0
19 Nov 2023
SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features
SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features
Song Wang
Zhu Wang
Can Li
Xiaojuan Qi
Hayden Kwok-Hay So
29
0
0
29 Sep 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory
A Sparse Quantized Hopfield Network for Online-Continual Memory
Nick Alonso
J. Krichmar
22
2
0
27 Jul 2023
Spike timing reshapes robustness against attacks in spiking neural
  networks
Spike timing reshapes robustness against attacks in spiking neural networks
Jianhao Ding
Zhaofei Yu
Tiejun Huang
Jian K. Liu
AAML
14
1
0
09 Jun 2023
Efficient Uncertainty Estimation in Spiking Neural Networks via
  MC-dropout
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Tao Sun
Bojian Yin
S. Bohté
BDL
11
5
0
20 Apr 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking
  Neural Networks
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
11
36
0
28 Feb 2023
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
32
59
0
09 Oct 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal
  Classification
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
Biswadeep Chakraborty
Saibal Mukhopadhyay
13
20
0
22 Sep 2022
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason Eshraghian
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
14
423
0
27 Sep 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
9
32
0
02 Jun 2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
  Detection
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty
Xueyuan She
Saibal Mukhopadhyay
35
50
0
21 Apr 2021
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
477
0
26 Mar 2018
1