Zhoule Zhu

This paper develops a hybrid deep learning model to decode human emotion states from intracranial neural activity, achieving high performance and real-time implementation.

This study uses spatial transcriptomics to identify gene expression changes in the mouse brain following nucleus accumbens deep brain stimulation, revealing alterations in synaptic function and neuronal connectivity.

This study investigates the role of high gamma activity between the precuneus and hippocampus in mnemonic metacognition using intracranial recordings from epilepsy patients.

This study investigates the role of cortical and subcortical brain structures in speech decoding using sEEG signals and a deep learning model, finding that both contribute to different aspects of speech prediction.