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realnet's Introduction

Hi there πŸ‘‹

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I'm Zitong Lu from πŸ‡¨πŸ‡³ now in πŸ‡ΊπŸ‡Έ !

To be an experimental psychologist, a cognitive neuroscientist, an AI scientist.

  • πŸ˜‰πŸŽ“ I am a third-year PhD candidate in cognitive neuroscience working with Dr. Julie Golomb in Vision and Cognitive Neuroscience Lab at The Ohio State University. Also, I am the OSU EEGlab manager!

    I got a graduate Minor degree in statistics in 2023 and a MSci degree in psychology in 2022 from The Ohio State University. And I graduated with a MSci degree in cognitive neuroscience from East China Normal University (Shanghai, China) in 2021. Also, I was a member of Memory and Emotion Lab led by Dr. Yixuan Ku in Sun Yat-sen University (Guangzhou, China) and a research assistant in Peng Cheng National Laboratory (Shenzhen, China). Before that, I received a BEng degree in software engineering from Northeastern University (Shenyang, China) in 2018.

  • πŸ‘€πŸ”‘ Visual Perception, Cognitive Computational Neuroscience, NeuroAI.

  • πŸ˜…πŸ”† I’m the author of NeuroRA and PyCTRSA - Two Python toolboxes for representational analysis.

  • πŸ˜‹:πŸ“” I'm also the author of the first Chinese Python EEG data analysis handbook.

  • πŸ“§πŸ“¬ If you have any question about my projects, you can email me: [email protected] / [email protected]

  • πŸ˜ƒπŸ’‘ Research Interests: To understand how we process object information in the complex and dynamics world using behavioral, EEG, fMRI and computational approaches and building more brain-like artificial vision models.

  • πŸ˜‰πŸ‘» Focused Topics:

  • 1️⃣ Neural and behavioral mechanisms of visual perception: (A) Object-location binding; (B) Depth and 3D perception; (C) Visual and semantic representations; (D) Generally spatial representation.

  • 2️⃣ Mapping representations between human brains and artificial neural networks: (A) Representational alignment between human brains and artificial neural networks; (B) Brain encoding models; (C) Inter-individual neural converters; (D) Reverse engineering to interpret neural mechanisms.


Typical Open-source Projects

  • NeuroRA: A Python toolbox of representational analysis from multimode neural data
  • Python-EEG-Handbook-CN: A Chinese handbook for EEG data analysis based on Python
  • EEG2EEG: A high-performance inter-individual EEG converter

Languages and Tools

  • Python, MATLAB, C, C++, Java, Julia
  • EEGLAB Badge MNE Badge SPM Badge NiBabel Badge Nilearn Badge NeuroRA Badge PyTorch Badge

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