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Deep Learning in Spiking Neural Networks

Deep Learning in Spiking Neural Networks

22 April 2018
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
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Papers citing "Deep Learning in Spiking Neural Networks"

50 / 95 papers shown
Title
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
Pranav Ramesh
Gopalakrishnan Srinivasan
31
0
0
03 May 2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Hongze Sun
Jun Wang
Wuque Cai
Duo Chen
Qianqian Liao
Jiayi He
Yan Cui
D. Yao
Daqing Guo
60
0
0
13 Mar 2025
Towards High-performance Spiking Transformers from ANN to SNN Conversion
Towards High-performance Spiking Transformers from ANN to SNN Conversion
Zihan Huang
Xinyu Shi
Zecheng Hao
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
30
7
0
28 Feb 2025
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Yulong Huang
Xiaopeng Lin
Hongwei Ren
Haotian Fu
Yue Zhou
Zunchang Liu
Biao Pan
Bojun Cheng
57
9
0
20 Feb 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
ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator
ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator
Prathamesh Pradeep Khole
Zahra Kais Petiwala
Shri Prathaa Magesh
Ehsan Mirafzali
Utkarsh Gupta
Jing-Rebecca Li
Andrada Ianus
Razvan V. Marinescu
105
0
0
04 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
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
Peng Yang
Ting Wang
Haibin Cai
Yuanming Shi
Chunxiao Jiang
Linling Kuang
31
0
0
28 Jan 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
54
0
0
24 Jan 2025
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
Haitian Zhang
Xiangyuan Wang
Chang Xu
Xinya Wang
Fang Xu
Huai Yu
Lei Yu
Wen Yang
ObjD
92
0
0
05 Dec 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
47
0
0
05 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
50
27
0
27 Jun 2024
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation
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
52
1
0
26 Apr 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
Gaurav Shinde
Rohan Mohapatra
Pooja Krishan
Harish Garg
Srikanth Prabhu
Sanchari Das
Mohammad Masum
Saptarshi Sengupta
32
1
0
28 Mar 2024
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and
  Asynchronous Machine Learning
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
Hector A. Gonzalez
Jiaxin Huang
Florian Kelber
Khaleelulla Khan Nazeer
Tim Langer
...
Bernhard Vogginger
Timo C. Wunderlich
Yexin Yan
Mahmoud Akl
Christian Mayr
24
16
0
09 Jan 2024
Delving Deeper Into Astromorphic Transformers
Delving Deeper Into Astromorphic Transformers
Md. Zesun Ahmed Mia
Malyaban Bal
Abhronil Sengupta
34
1
0
18 Dec 2023
Hybrid Synaptic Structure for Spiking Neural Network Realization
Hybrid Synaptic Structure for Spiking Neural Network Realization
S. Razmkhah
M. A. Karamuftuoglu
A. Bozbey
16
5
0
13 Nov 2023
Programmable Superconducting Optoelectronic Single-Photon Synapses with
  Integrated Multi-State Memory
Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory
Bryce Primavera
Saeed A. Khan
R. Mirin
S. Nam
J. Shainline
19
4
0
10 Nov 2023
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
26
5
0
09 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
28
0
0
15 Oct 2023
Exploring the Creation and Humanization of Digital Life: Consciousness
  Simulation and Human-Machine Interaction
Exploring the Creation and Humanization of Digital Life: Consciousness Simulation and Human-Machine Interaction
Qikang Zhang
AI4CE
13
1
0
10 Oct 2023
Is Learning in Biological Neural Networks based on Stochastic Gradient
  Descent? An analysis using stochastic processes
Is Learning in Biological Neural Networks based on Stochastic Gradient Descent? An analysis using stochastic processes
Sören Christensen
Jan Kallsen
11
1
0
10 Sep 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning:
  A Survey
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
33
6
0
30 Jul 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
30
7
0
14 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
Spike-based computation using classical recurrent neural networks
Spike-based computation using classical recurrent neural networks
Florent De Geeter
D. Ernst
G. Drion
16
1
0
06 Jun 2023
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on
  Analysis and Error Bounds
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds
Bernhard A. Moser
M. Lunglmayr
17
8
0
09 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
30
16
0
25 Apr 2023
Provable local learning rule by expert aggregation for a Hawkes network
Provable local learning rule by expert aggregation for a Hawkes network
Sophie Jaffard
Samuel Vaiter
A. Muzy
Patricia Reynaud-Bouret
16
1
0
17 Apr 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
19
5
0
17 Apr 2023
Constructing Deep Spiking Neural Networks from Artificial Neural
  Networks with Knowledge Distillation
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
Qi Xu
Yaxin Li
Jiangrong Shen
Jian K. Liu
Huajin Tang
Gang Pan
17
61
0
12 Apr 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural
  Network Inference considering Approximate DRAMs for Embedded Systems
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
24
11
0
08 Apr 2023
Online Transformers with Spiking Neurons for Fast Prosthetic Hand
  Control
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Nathan Leroux
Jan Finkbeiner
Emre Neftci
28
9
0
21 Mar 2023
Fully neuromorphic vision and control for autonomous drone flight
Fully neuromorphic vision and control for autonomous drone flight
Federico Paredes-Valles
J. Hagenaars
Julien Dupeyroux
S. Stroobants
Ying Xu
Guido de Croon
25
36
0
15 Mar 2023
TopSpark: A Timestep Optimization Methodology for Energy-Efficient
  Spiking Neural Networks on Autonomous Mobile Agents
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
37
12
0
03 Mar 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural
  Networks with Neuromorphic Data
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Gorka Abad
Oguzhan Ersoy
S. Picek
A. Urbieta
AAML
23
17
0
13 Feb 2023
Tricking AI chips into Simulating the Human Brain: A Detailed
  Performance Analysis
Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis
Lennart P L Landsmeer
Max C. W. Engelen
Rene Miedema
Christos Strydis
8
4
0
31 Jan 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Guangyao Chen
Peixi Peng
Guoqi Li
Yonghong Tian
26
23
0
27 Jan 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking
  Neural Networks
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
35
6
0
24 Dec 2022
An Exact Mapping From ReLU Networks to Spiking Neural Networks
An Exact Mapping From ReLU Networks to Spiking Neural Networks
A. Stanojević
Stanislaw Wo'zniak
G. Bellec
G. Cherubini
A. Pantazi
W. Gerstner
23
22
0
23 Dec 2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking
  Neural Networks
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
Yuhang Li
Ruokai Yin
Hyoungseob Park
Youngeun Kim
Priyadarshini Panda
18
14
0
14 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
27
2
0
04 Nov 2022
Local learning through propagation delays in spiking neural networks
Local learning through propagation delays in spiking neural networks
Jørgen Jensen Farner
O. H. Ramstad
Stefano Nichele
Kristine Heiney
12
0
0
27 Oct 2022
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
28
0
0
18 Oct 2022
In the realm of hybrid Brain: Human Brain and AI
In the realm of hybrid Brain: Human Brain and AI
Hoda Fares
Margherita Ronchini
M. Zamani
H. Farkhani
F. Moradi
21
5
0
04 Oct 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal
  Classification
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
Biswadeep Chakraborty
Saibal Mukhopadhyay
21
20
0
22 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
29
12
0
07 Sep 2022
Learning with Local Gradients at the Edge
Learning with Local Gradients at the Edge
M. Lomnitz
Z. Daniels
David C. Zhang
M. Piacentino
28
1
0
17 Aug 2022
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