Author

Dong-Qi Han

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Preprint Sep 2026

Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction

FReD is introduced, which derives fMRI representations from a frozen Deep Compression AutoEncoder pre-trained exclusively on natural images and pairs them with a task specific readout, making frozen natural-image features as a useful baseline for assessing its added value on current fMRI benchmarks.

Juhyeon Park, Yeonwook Kim, P. Y. Kim et al. · 0 citations

#artificial intelligence Review Sep 2026

On the Limits of Metacognitive Monitoring in LLMs

Reliable decisions depend on recognizing when an answer may be wrong. In biological cognition, metacognitive monitoring can dissociate from task performance, raising the question of how closely solving and judging are linked in language models. Here we study the confidence reports of four frontier models across 15 benc...

Dong-Qi Han, Yifan Yang, Dong-Sheng Li · 0 citations

Open access Jul 2026

From Hodgkin-Huxley to Pretrained Neural Inference AI

By pre-training artificial neural networks exclusively on large-scale synthetic data, this work demonstrates robust zero-shot generalization across diverse brain regions, experimental paradigms and species, enabling the accurate inference of single-unit activities and cell-type properties without exposure to real data.

Yimu Zhang, Dong-Qi Han, Zhen-Ning Lv et al. · bioRxiv · 0 citations