5 papers
BIDETA: Brain-Inspired Data-Efficient Tactile Adaptation for Unseen Sensors
Boheng Liu, Lan Wei, Ziyu Li +4
Vision-based tactile sensors provide high-resolution contact information for robotic perception and contact-rich manipulation, advancing embodied intelligence through more reliable…
Not All EEG Moments Are Equal: Position-Adaptive Time Scheduling for EEG Generation
Boheng Liu, Ziyu Li, Chenghua Duan +2
Electroencephalography (EEG) generation is essential for alleviating data scarcity and enabling large scale neural modeling in brain computer interface applications. However, exist…
NeuroCLIP: Brain-Inspired Prompt Tuning for EEG-to-Image Multimodal Contrastive Learning
Jiyuan Wang, Li Zhang, Xizhang Yao +7
Recent advances in brain-inspired artificial intelligence have sought to align neural signals with visual semantics using multimodal models such as CLIP. However, existing methods…
Neuromorphic Computing with Multi-Frequency Oscillations: A Bio-Inspired Approach to Artificial Intelligence
Boheng Liu, Ziyu Li, Qing Li +1
Despite remarkable capabilities, artificial neural networks exhibit limited flexible, generalizable intelligence. This limitation stems from their fundamental divergence from biolo…
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Kexin Di, Xiuxing Li, Yuyang Han +3
Few-shot image classification has become a popular research topic for its wide application in real-world scenarios, however the problem of supervision collapse induced by single im…