Jiawei Li

The paper investigates how human temporal cortex integrates facial and acoustic cues during speech, revealing distinct frequency-dependent integration regimes in different regions.

This paper introduces a dual-path framework for reconstructing high-fidelity speech from neural recordings, achieving high intelligibility with limited ECoG data.

This paper presents an automated protocol for creating microfluidic droplet-engineered organoids from primary tissue samples, improving scalability and reproducibility for drug screening and disease modeling.

This paper proposes a pre-trained encoder-decoder framework to re-synthesize natural speech from neural recordings, achieving a phoneme error rate of 28.6% and 71.6% word recognition.