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ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking
  Neural Networks

ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks

22 March 2017
Priyadarshini Panda
Jason M. Allred
S. Ramanathan
Kaushik Roy
ArXivPDFHTML

Papers citing "ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks"

17 / 17 papers shown
Title
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
M. Minhas
Rachmad Vidya Wicaksana Putra
Falah R. Awwad
Osman Hasan
Mohamed Bennai
45
1
0
21 Mar 2025
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
Nicholas Soures
Peter Helfer
Anurag Daram
Tej Pandit
Dhireesha Kudithipudi
CLL
30
9
0
16 Aug 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of
  Spiking Neural Networks
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
CLL
36
7
0
19 Feb 2024
Adaptive Reorganization of Neural Pathways for Continual Learning with
  Spiking Neural Networks
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
Bing Han
Feifei Zhao
Wenxuan Pan
Zhaoya Zhao
Xianqi Li
Qingqun Kong
Yi Zeng
CLL
32
3
0
18 Sep 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
Mohamed Bennai
42
12
0
03 Mar 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
Mohamed Bennai
40
6
0
24 Dec 2022
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
29
6
0
17 Jun 2022
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for
  Efficient Unsupervised Continual Learning on Autonomous Agents
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
26
16
0
24 May 2022
Characterization of Generalizability of Spike Timing Dependent
  Plasticity trained Spiking Neural Networks
Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks
Biswadeep Chakraborty
Saibal Mukhopadhyay
12
15
0
31 May 2021
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with
  Continual and Unsupervised Learning Capabilities in Dynamic Environments
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
16
33
0
28 Feb 2021
SPA: Stochastic Probability Adjustment for System Balance of
  Unsupervised SNNs
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
Xingyu Yang
Mingyuan Meng
Shanlin Xiao
Zhiyi Yu
21
1
0
19 Oct 2020
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient
  Spiking Neural Networks
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
16
46
0
17 Jul 2020
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural
  Networks
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
Mingyuan Meng
Xingyu Yang
Shanlin Xiao
Zhiyi Yu
19
13
0
29 Jan 2020
High-parallelism Inception-like Spiking Neural Networks for Unsupervised
  Feature Learning
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
Mingyuan Meng
Xingyu Yang
Lei Bi
Jinman Kim
Shanlin Xiao
Zhiyi Yu
21
16
0
02 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
18
35
0
30 Oct 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity
  Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Jason M. Allred
Kaushik Roy
CLL
22
31
0
08 Feb 2019
Incremental Learning in Deep Convolutional Neural Networks Using Partial
  Network Sharing
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Syed Shakib Sarwar
Aayush Ankit
Kaushik Roy
CLL
37
109
0
07 Dec 2017
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