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ZitongLu1996/README.md

Hi there ๐Ÿ‘‹

GitHub Badge CV Badge Website Badge email1 Bage email2 Bage

I'm Zitong Lu from ๐Ÿ‡จ๐Ÿ‡ณ now in ๐Ÿ‡บ๐Ÿ‡ธ !

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

  • ๐Ÿ˜‰๐ŸŽ“ I am a fourth-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๏ผ

    I will join Dr. Nancy Kanwisher's lab as a post-doc researcher at Massachusetts Institute of Technology next summer.

    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.

  • ๐Ÿ‘€๐Ÿ”‘ Visual Perception, Cognitive Computational Neuroscience, NeuroAI.

  • ๐Ÿ˜…๐Ÿ”† Iโ€™m the author of NeuroRA and PyCTRSA - Two Python toolboxes for representational analysis.

  • ๐Ÿ˜‹:๐Ÿ“” I'm also the author of the first Chinese Python EEG data analysis handbook.

  • ๐Ÿ“ง๐Ÿ“ฌ If you have any question about my projects, you can email me: zitonglu1996@gmail.com / lu.2637@osu.edu

  • ๐Ÿ˜ƒ๐Ÿ’ก 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.

  • ๐Ÿ˜‰๐Ÿ‘ป Focused Topics:

  • 1๏ธโƒฃ 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.

  • 2๏ธโƒฃ 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

github stats Top Langs ReadMe Card ReadMe Card ReadMe Card ReadMe Card

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  1. NeuroRA NeuroRA Public

    A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Anaโ€ฆ

    Python 172 32

  2. Python-EEG-Handbook-CN Python-EEG-Handbook-CN Public

    Python่„‘็”ตๆ•ฐๆฎๅค„็†ไธญๆ–‡ๆ‰‹ๅ†Œ - A Chinese handbook for EEG data analysis based on Python

    Jupyter Notebook 375 62

  3. Reviews_Reading_Group Reviews_Reading_Group Public

    Memory & Perception Reviews Reading Group (RRG)

    20 1

  4. EEG2EEG EEG2EEG Public

    [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters

    Jupyter Notebook 25 2

  5. ReAlnet ReAlnet Public

    Mimicking Human Neural Representations to Achieve More Human Brain-Like Vision Models via Neural Alignments

    Python

  6. Img2EEG Img2EEG Public

    [CCN 24'] Probing Human Vision via an Image-to-EEG Encoding Model

    2