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06/02/2023
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli
In the real world, visual stimuli received by the biological visual syst...
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06/01/2023
Auto-Spikformer: Spikformer Architecture Search
The integration of self-attention mechanisms into Spiking Neural Network...
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05/23/2023
Temporal Contrastive Learning for Spiking Neural Networks
Biologically inspired spiking neural networks (SNNs) have garnered consi...
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05/10/2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Deep spiking neural networks (SNNs) have drawn much attention in recent ...
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04/25/2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Vanilla spiking neurons in Spiking Neural Networks (SNNs) use charge-fir...
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04/24/2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Spiking neural networks (SNNs) offer a promising energy-efficient altern...
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03/09/2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
Deep artificial neural networks (ANNs) play a major role in modeling the...
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03/01/2023
The style transformer with common knowledge optimization for image-text retrieval
Image-text retrieval which associates different modalities has drawn bro...
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02/25/2023
A Unified Framework for Soft Threshold Pruning
Soft threshold pruning is among the cutting-edge pruning methods with st...
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06/03/2019
