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Accurate and efficient time-domain classification with adaptive spiking
  recurrent neural networks

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

12 March 2021
Bojian Yin
Federico Corradi
S. Bohté
ArXivPDFHTML

Papers citing "Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks"

23 / 23 papers shown
Title
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
59
0
0
24 Apr 2025
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification
Mohaddeseh Chegini
Ali Mahloojifar
BDL
UQCV
68
0
0
23 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
Fundamental Survey on Neuromorphic Based Audio Classification
Fundamental Survey on Neuromorphic Based Audio Classification
Amlan Basu
Pranav Chaudhari
Gaetano Di Caterina
AI4TS
33
0
0
20 Feb 2025
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
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
52
0
0
24 Jan 2025
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
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
Erwan Plouet
Dédalo Sanz-Hernández
A. Vecchiola
Julie Grollier
F. Mizrahi
34
0
0
05 Aug 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing
Boyan Gao
Zheng Zhang
David A. Clifton
Shitao Xiao
LI DU
Guoqi Li
Jiajun Zhang
45
5
0
05 Jul 2024
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional
  Architectures
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
Jiaqi Lin
Malyaban Bal
Abhronil Sengupta
22
2
0
04 May 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
25
0
0
26 Dec 2023
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason Eshraghian
Sadique Sheik
25
30
0
24 Nov 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
Inherent Redundancy in Spiking Neural Networks
Inherent Redundancy in Spiking Neural Networks
Man Yao
J. Hu
Guangshe Zhao
Yaoyuan Wang
Ziyang Zhang
Boxing Xu
Guoqi Li
19
15
0
16 Aug 2023
Sparse-firing regularization methods for spiking neural networks with
  time-to-first spike coding
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi
Kakei Yamamoto
T. Hosomi
Kazuyuki Aihara
40
7
0
24 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
20
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
21
109
0
04 Jul 2023
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny
J. Turner
James C. Knight
22
15
0
02 Dec 2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
31
36
0
11 Oct 2022
Neuro-symbolic computing with spiking neural networks
Neuro-symbolic computing with spiking neural networks
Dominik Dold
J. Garrido
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
NAI
17
5
0
04 Aug 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
Efficient Neuromorphic Signal Processing with Loihi 2
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard
E. P. Frady
D. B. Rubin
Sophia Sanborn
S. Shrestha
Friedrich T. Sommer
Mike Davies
12
163
0
05 Nov 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
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
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