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In the era of deep learning, audio-visual saliency prediction is still in its infancy due to the complexity of video signals and the continuous correlation in the temporal dimension. Most existing ...
To address these challenges, we introduce Spiking Neural Networks (SNN) into the VPR task, specifically focusing on the feature aggregation component. SNN, with their event-driven nature, offer ...
Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.
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