Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP
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Abstract (arXiv)
Spiking neural networks (SNNs) are good candidates to produce ultra-energy-efficient hardware. However, the performance of these models is currently behind traditional methods. Introducing multi-layered SNNs is a promising way to reduce this gap. We propose in this paper a new threshold adaptation system which uses a timestamp objective at which neurons should fire. We show that our method leads to state-of-the-art classification rates on the MNIST dataset (98.60%) and the Faces/Motorbikes dataset (99.46%) with an unsupervised SNN followed by a linear SVM. We also investigate the sparsity level of the network by testing different inhibition policies and STDP rules.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Apr 2019.
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Citing papers per year: 2021: 4; 2022: 4; 2023: 5; 2024: 1.
14 papers.
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- 2021Accurate and efficient time-domain classification with adaptive spiking recurrent neural networkscited by 113
- 2022Spiking Neural Networks for Frame-based and Event-based Single Object Localizationcited by 18
- 2023Co-learning synaptic delays, weights and adaptation in spiking neural networkscited by 12
- 2023Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Surveycited by 8
- 20222D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognitioncited by 5
- 2023Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networkscited by 5
- 2021A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDPcited by 4
- 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classificationcited by 4
- 2021Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learningcited by 3
- 2021A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learningcited by 3
- 2022Memory via Temporal Delays in weightless Spiking Neural Networkcited by 2
- 2023Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognitioncited by 1
- 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification22 Oct 2024
- 2023S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action Recognition22 Sep 2023
- 2023Co-learning synaptic delays, weights and adaptation in spiking neural networks12 Sep 2023
- 2023Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks4 Aug 2023
- 2023Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey30 Jul 2023
- 2023Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition23 Jun 2023
- 2022Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity10 Nov 2022
- 2022Spiking Neural Networks for Frame-based and Event-based Single Object Localization13 Jun 2022
- 20222D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition26 May 2022
- 2022Memory via Temporal Delays in weightless Spiking Neural Network15 Feb 2022
- 2021A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learning1 Nov 2021
- 2021A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP31 May 2021
- 2021Accurate and efficient time-domain classification with adaptive spiking recurrent neural networkscited by 113
- 2022Spiking Neural Networks for Frame-based and Event-based Single Object Localizationcited by 18
- 2023Co-learning synaptic delays, weights and adaptation in spiking neural networkscited by 12
- 2023Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Surveycited by 8
- 20222D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognitioncited by 5
- 2023Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networkscited by 5
- 2021A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDPcited by 4
- 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classificationcited by 4
- 2021Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learningcited by 3
- 2021A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learningcited by 3
- 2022Memory via Temporal Delays in weightless Spiking Neural Networkcited by 2
- 2023Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognitioncited by 1
12 most cited of 14 All 14 (JSON)
- 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification22 Oct 2024
- 2023S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action Recognition22 Sep 2023
- 2023Co-learning synaptic delays, weights and adaptation in spiking neural networks12 Sep 2023
- 2023Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks4 Aug 2023
- 2023Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey30 Jul 2023
- 2023Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition23 Jun 2023
- 2022Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity10 Nov 2022
- 2022Spiking Neural Networks for Frame-based and Event-based Single Object Localization13 Jun 2022
- 20222D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition26 May 2022
- 2022Memory via Temporal Delays in weightless Spiking Neural Network15 Feb 2022
- 2021A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learning1 Nov 2021
- 2021A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP31 May 2021
12 newest of 14 All 14 (JSON)