About Me!

I am Zitong Lu (路子童 in Chinese), a fourth-year PhD candidate in cognitive neuroscience working with Julie Golomb at The Ohio State University (OSU). Also, I am the OSU EEGlab manager！

I will join Nancy Kanwisher and Evelina Fedorenko labs at Massachusetts Institute of Technology (MIT) as a post-doc researcher this summer.

Before that, I received B.Eng. in software engineering from Northeastern University (NEU) in China in 2018 and M.S. in cognitive neuroscience from East China Normal University (ECNU) in 2021. I worked with Dr. Yixuan Ku and did some studies about visual working memory and face perception.

I am the author of NeuroRA (a python toolbox for multi-modal neural data representational analysis), a Python EEG handbooks, EEG2EEG (a state-of-the-art inter-individual EEG converter), and ReAlnet (a more human brain-like vision model optimized by human neural data).

I am interested in understanding how we process object information in the complex and dynamics world using behavioral, EEG, fMRI and computational approaches and building more brain-like artificial neural networks.

My main research interests are:

(1) Neural and behavioral mechanisms of visual and semantic perception:

• Behavioral mechanisms of object-location binding across eye-movements;
• Neural mechanisms of depth and 3D perception;
• Visual and semantic representations in human brains;
• Shared representations between visual and language modalities.

(2) Mapping representations between human brains and artificial neural networks:

• Brain-brain like models via neural alignment;
• Image-to-Brain encoding models;
• Inter-individual neural converters;
• Reverse engineering to interpret neural mechanisms.

For details, please see the Research Section.