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Supervised learning based on temporal coding in spiking neural networks

Supervised learning based on temporal coding in spiking neural networks

27 June 2016
Hesham Mostafa
ArXivPDFHTML

Papers citing "Supervised learning based on temporal coding in spiking neural networks"

50 / 52 papers shown
Title
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
Active Dendrites Enable Efficient Continual Learning in
  Time-To-First-Spike Neural Networks
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes
Rick Luiken
Federico Corradi
Charlotte Frenkel
24
5
0
30 Apr 2024
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based
  Detection with Recurrent Spiking Neural Networks
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Ziming Wang
Ziling Wang
Huaning Li
Lang Qin
Runhao Jiang
De Ma
Huajin Tang
28
10
0
19 Mar 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
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
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Klos
Raoul-Martin Memmesheimer
41
5
0
25 Sep 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
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural
  Networks
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Jiangrong Shen
Qi Xu
Jian K. Liu
Yueming Wang
Gang Pan
Huajin Tang
22
41
0
06 Jun 2023
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Madhuvanthi Srivatsav
S. Chakrabartty
Chetan Singh Thakur
14
0
0
27 Apr 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
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
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Zecheng Hao
Tong Bu
Jianhao Ding
Tiejun Huang
Zhaofei Yu
25
54
0
04 Feb 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
21
23
0
27 Jan 2023
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
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
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
19
32
0
26 Nov 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
22
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
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
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
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
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
16
88
0
23 Jan 2022
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics
  Organized by Astrocyte-modulated Plasticity
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir A. Ivanov
Konstantinos Michmizos
18
33
0
26 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for
  Semantic Segmentation
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
Youngeun Kim
Joshua Chough
Priyadarshini Panda
40
79
0
14 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
Spike time displacement based error backpropagation in convolutional
  spiking neural networks
Spike time displacement based error backpropagation in convolutional spiking neural networks
M. Mirsadeghi
Majid Shalchian
Saeed Reza Kheradpisheh
T. Masquelier
8
14
0
31 Aug 2021
A Microarchitecture Implementation Framework for Online Learning with
  Temporal Neural Networks
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Harideep Nair
J. Shen
James E. Smith
17
8
0
27 May 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
475
0
08 Feb 2021
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for
  Network Intrusion Detection
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
Shibo Zhou
Xiaohua Li
AAML
21
13
0
15 Oct 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks
Towards Understanding the Effect of Leak in Spiking Neural Networks
Sayeed Shafayet Chowdhury
Chankyu Lee
Kaushik Roy
9
54
0
15 Jun 2020
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
11
106
0
12 Jun 2020
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji
T. Marty
Anup Das
F. Catthoor
19
24
0
11 Jun 2020
Hardware Implementation of Spiking Neural Networks Using
  Time-To-First-Spike Encoding
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding
Seongbin Oh
D. Kwon
Gyuho Yeom
Won-Mook Kang
Soochang Lee
S. Woo
Jaehyeon Kim
Min Kyu Park
Jong-Ho Lee
43
15
0
09 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic
  computing
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu
R. Zhao
Jun Zhu
F. Chen
Mingkun Xu
...
Hao Zheng
Jing Pei
Youhui Zhang
Mingguo Zhao
Luping Shi
19
86
0
05 Jun 2020
Towards Efficient Processing and Learning with Spikes: New Approaches
  for Multi-Spike Learning
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Qiang Yu
Shenglan Li
Huajin Tang
Longbiao Wang
J. Dang
Kay Chen Tan
19
10
0
02 May 2020
The Operating System of the Neuromorphic BrainScaleS-1 System
The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller
Sebastian Schmitt
Christian Mauch
Sebastian Billaudelle
Andreas Grübl
...
H. Schmidt
Bernhard Vogginger
Jonas Weidner
Christian Mayr
Johannes Schemmel
22
23
0
30 Mar 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
25
48
0
27 Mar 2020
Rectified Linear Postsynaptic Potential Function for Backpropagation in
  Deep Spiking Neural Networks
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Malu Zhang
Jiadong Wang
Burin Amornpaisannon
Zhixuan Zhang
VPK Miriyala
...
Hong Qu
Jibin Wu
Yansong Chua
Trevor E. Carlson
Haizhou Li
7
21
0
26 Mar 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with
  Binarized Classification Layers for EMNIST Classification using SpykeFlow
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
Ruthvik Vaila
John N. Chiasson
V. Saxena
11
22
0
26 Feb 2020
Versatile emulation of spiking neural networks on an accelerated
  neuromorphic substrate
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
Sebastian Billaudelle
Yannik Stradmann
Korbinian Schreiber
Benjamin Cramer
A. Baumbach
...
V. Karasenko
Walter Senn
Mihai A. Petrovici
Johannes Schemmel
K. Meier
7
45
0
30 Dec 2019
Structural plasticity on an accelerated analog neuromorphic hardware
  system
Structural plasticity on an accelerated analog neuromorphic hardware system
Sebastian Billaudelle
Benjamin Cramer
Mihai A. Petrovici
Korbinian Schreiber
David Kappel
Johannes Schemmel
K. Meier
16
20
0
27 Dec 2019
Fast and energy-efficient neuromorphic deep learning with first-spike
  times
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
22
124
0
24 Dec 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
14
35
0
30 Oct 2019
Spiking neural networks trained with backpropagation for low power
  neuromorphic implementation of voice activity detection
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
Flavio Martinelli
Giorgia Dellaferrera
Pablo Mainar
Milos Cernak
11
29
0
22 Oct 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:
  Learning with Backpropagation
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
23
173
0
30 Jul 2019
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital
  Neuromorphic Processor with Stochastic Spike-Driven Online Learning
MorphIC: A 65-nm 738k-Synapse/mm2^22 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
Charlotte Frenkel
J. Legat
D. Bol
17
113
0
17 Apr 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
23
97
0
06 Mar 2019
EventNet: Asynchronous Recursive Event Processing
EventNet: Asynchronous Recursive Event Processing
Yusuke Sekikawa
K. Hara
Hideo Saito
54
97
0
07 Dec 2018
BindsNET: A machine learning-oriented spiking neural networks library in
  Python
BindsNET: A machine learning-oriented spiking neural networks library in Python
Hananel Hazan
D. J. Saunders
Hassaan Khan
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
AI4CE
13
228
0
04 Jun 2018
Bio-inspired digit recognition using reward-modulated
  spike-timing-dependent plasticity in deep convolutional networks
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
S. Thorpe
T. Masquelier
17
154
0
31 Mar 2018
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