Source data for 5 main figures in "Resistive memory-based zero-shot liquid state machine for multimodal event data learning."
收藏datahub.hku.hk2024-11-25 更新2025-01-22 收录
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https://datahub.hku.hk/articles/dataset/Source_data_for_Resistive_memory-based_zero-shot_liquid_state_machine_for_multimodal_event_data_learning_/27873162/4
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资源简介：
A novel neuromorphic computing paradigm for learning cross-modal event-driven signals that pushes limits for efficient real-time knowledge generalization and achieves zero-shot transfer learning for multimodal data.
一种新颖的神经形态计算范式，旨在学习跨模态事件驱动信号，推动高效实时知识泛化的极限，并实现多模态数据的零样本迁移学习。
提供机构：
HKU Data Repository
