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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

26 March 2018
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
ArXivPDFHTML

Papers citing "Long short-term memory and learning-to-learn in networks of spiking neurons"

50 / 75 papers shown
Title
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
95
0
0
08 May 2025
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
51
0
0
01 May 2025
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Enqi Zhang
MQ
140
0
0
24 Apr 2025
Causal pieces: analysing and improving spiking neural networks piece by piece
Causal pieces: analysing and improving spiking neural networks piece by piece
Dominik Dold
Philipp Christian Petersen
CML
38
0
0
18 Apr 2025
PETNet -- Coincident Particle Event Detection using Spiking Neural Networks
PETNet -- Coincident Particle Event Detection using Spiking Neural Networks
Jan Debus
Charlotte Debus
Günther Dissertori
Markus Gotz
31
0
0
09 Apr 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
Junyi Guan
Abhijith Sharma
Chong Tian
Salem Lahlou
AAML
49
1
0
18 Feb 2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Huifeng Yin
Hanle Zheng
Jiayi Mao
Siyuan Ding
Xing Liu
M. Xu
Yifan Hu
Jing Pei
Lei Deng
50
1
0
28 Jan 2025
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Dengyu Wu
Jiechen Chen
Bipin Rajendran
H. Vincent Poor
Osvaldo Simeone
44
1
0
07 Nov 2024
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with
  Spiking-FullSubNet
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet
Xiang Hao
Chenxiang Ma
Qu Yang
Jibin Wu
Kay Chen Tan
18
0
0
07 Oct 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig
Romain Ferrand
Silvester Sabathiel
R. Legenstein
40
4
0
14 Aug 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
36
2
0
08 Jul 2024
Spiking Convolutional Neural Networks for Text Classification
Spiking Convolutional Neural Networks for Text Classification
Changze Lv
Jianhan Xu
Xiaoqing Zheng
46
27
0
27 Jun 2024
Watermarking Neuromorphic Brains: Intellectual Property Protection in
  Spiking Neural Networks
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
29
1
0
07 May 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales
  for Pruning Recurrent SNN
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
36
8
0
06 Mar 2024
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Chenxi Sun
Hongyan Li
Moxian Song
Derun Can
linda Qiao
27
0
0
26 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
30
6
0
19 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
26
0
0
15 Oct 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
30
3
0
20 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Automotive Object Detection via Learning Sparse Events by Spiking
  Neurons
Automotive Object Detection via Learning Sparse Events by Spiking Neurons
Hu Zhang
Yanchen Li
Luziwei Leng
Kaiwei Che
Qian Liu
Qinghai Guo
Jianxing Liao
Ran Cheng
34
6
0
24 Jul 2023
Approximating nonlinear functions with latent boundaries in low-rank
  excitatory-inhibitory spiking networks
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks
William F. Podlaski
C. Machens
12
8
0
18 Jul 2023
Long Short-term Memory with Two-Compartment Spiking Neuron
Long Short-term Memory with Two-Compartment Spiking Neuron
Shimin Zhang
Qu Yang
Chenxiang Ma
Jibin Wu
Haizhou Li
Kay Chen Tan
22
7
0
14 Jul 2023
Spike-driven Transformer
Spike-driven Transformer
Man Yao
Jiakui Hu
Zhaokun Zhou
Liuliang Yuan
Yonghong Tian
Boxing Xu
Guoqi Li
34
112
0
04 Jul 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free
  Inference
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Boyan Li
Luziwei Leng
Shuaijie Shen
Kaixuan Zhang
Jianguo Zhang
Jianxing Liao
Ran Cheng
28
7
0
21 Jun 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient
  Training in Deep Spiking Neural Networks
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Di Hong
Jiangrong Shen
Yu Qi
Yueming Wang
17
5
0
17 Apr 2023
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
A. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
28
24
0
12 Apr 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao
Jianhao Ding
Tong Bu
Tiejun Huang
Zhaofei Yu
35
40
0
21 Feb 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
34
121
0
19 Jan 2023
Exact Gradient Computation for Spiking Neural Networks Through Forward
  Propagation
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Jane Lee
Saeid Haghighatshoar
Amin Karbasi
22
0
0
18 Oct 2022
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
45
60
0
09 Oct 2022
Spiking Neural Networks for event-based action recognition: A new task
  to understand their advantage
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Alex Vicente-Sola
D. L. Manna
Paul Kirkland
G. D. Caterina
Trevor J. Bihl
19
8
0
29 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking
  Neural Networks to Adversarial Examples
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
Nuo Xu
Kaleel Mahmood
Haowen Fang
Ethan Rathbun
Caiwen Ding
Wujie Wen
AAML
27
12
0
07 Sep 2022
A Taxonomy of Recurrent Learning Rules
A Taxonomy of Recurrent Learning Rules
Guillermo Martín-Sánchez
Sander M. Bohté
S. Otte
11
3
0
23 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
22
46
0
04 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
13
12
0
28 Jun 2022
Memory-enriched computation and learning in spiking neural networks
  through Hebbian plasticity
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher
Ozan Özdenizci
R. Legenstein
11
2
0
23 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation
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
17
134
0
01 May 2022
A Novel Neuromorphic Processors Realization of Spiking Deep
  Reinforcement Learning for Portfolio Management
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management
Amir Saeidi
Forouzan Fallah
Soroush Barmaki
Hamed Farbeh
19
11
0
26 Mar 2022
Evaluation of Neuromorphic Spike Encoding of Sound Using Information
  Theory
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory
Ahmad El Ferdaoussi
É. Plourde
Jean Rouat
17
1
0
19 Feb 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
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
8
125
0
26 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent
  spiking neural networks
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
24
1
0
05 Jan 2022
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
Bojian Yin
Federico Corradi
S. Bohté
30
60
0
20 Dec 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep
  Spiking Neural Networks by Training with Crafted Input Noise
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
Souvik Kundu
Massoud Pedram
P. Beerel
AAML
8
70
0
06 Oct 2021
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural
  Networks
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks
Alan Jeffares
Qinghai Guo
Pontus Stenetorp
Timoleon Moraitis
23
16
0
06 Oct 2021
Towards efficient end-to-end speech recognition with
  biologically-inspired neural networks
Towards efficient end-to-end speech recognition with biologically-inspired neural networks
Thomas Bohnstingl
Ayush Garg
Stanislaw Wo'zniak
G. Saon
E. Eleftheriou
A. Pantazi
19
5
0
04 Oct 2021
One Timestep is All You Need: Training Spiking Neural Networks with
  Ultra Low Latency
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency
Sayeed Shafayet Chowdhury
Nitin Rathi
Kaushik Roy
21
40
0
01 Oct 2021
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for
  Sequential Learning
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Wachirawit Ponghiran
Kaushik Roy
25
48
0
04 Sep 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
P. Beerel
40
27
0
26 Jul 2021
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic
  Hardware
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Philipp Plank
A. Rao
Andreas Wild
Wolfgang Maass
10
102
0
08 Jul 2021
Fitting summary statistics of neural data with a differentiable spiking
  network simulator
Fitting summary statistics of neural data with a differentiable spiking network simulator
G. Bellec
Shuqi Wang
Alireza Modirshanechi
Johanni Brea
W. Gerstner
26
11
0
18 Jun 2021
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