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Sheng-Hao Cao

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Open access Aug 2026

Toward a Neural Foundation Model: A Probabilistic Spike Representation Model to Mitigate Neural Variability

The Probabilistic Neural Representation Transformer (PNRT) is proposed, a framework that models variable spike activities into a consistent latent probabilistic distribution and implements an activity-based neuronal reordering method that decouples the model from physical electrode positions to mitigate misalignment.

Zhijian Gong, Ning-Ling Ge, Sheng-Hao Cao et al. · 0 citations

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