2 citations · 2 across the 6 of their papers we have counts for
6 papers
NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity
Weijian Mai, Mu Nan, Yu Zhu +6
Visual encoding and decoding models act as gateways to understanding the neural mechanisms underlying human visual perception. Typically, visual encoding models that predict brain…
Explainable Interictal Epileptiform Discharge Detection Method Based on Scalp EEG and Retrieval-Augmented Generation
Yu Zhu, Jiayang Guo, Jun Jiang +3
The detection of interictal epileptiform discharge (IED) is crucial for the diagnosis of epilepsy, but automated methods often lack interpretability. This study proposes IED-RAG, a…
Energy-based Autoregressive Generation for Neural Population Dynamics
Ningling Ge, Sicheng Dai, Yu Zhu +1
Understanding brain function represents a fundamental goal in neuroscience, with critical implications for therapeutic interventions and neural engineering applications. Computatio…
SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
Weijian Mai, Jiamin Wu, Yu Zhu +6
Deciphering how visual stimuli are transformed into cortical responses is a fundamental challenge in computational neuroscience. This visual-to-neural mapping is inherently a one-t…
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
Yu Zhu, Chunfeng Song, Wanli Ouyang +2
Individual brains exhibit striking structural and physiological heterogeneity, yet neural circuits can generate remarkably consistent functional properties across individuals, an a…
AI of Brain and Cognitive Sciences: From the Perspective of First Principles
Luyao Chen, Zhiqiang Chen, Longsheng Jiang +13
Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and con…