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😉🎓 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!
I will join Dr. Nancy Kanwisher & Dr. Evelina Fedorenko labs as a post-doc researcher at Massachusetts Institute of Technology supported by Lore Harp McGovern 25th Anniversary Postdoctoral Fellowship this 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.
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👀🔑 Visual Perception, Cognitive Computational Neuroscience, NeuroAI.
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😅🔆 I’m the author of NeuroRA and PyCTRSA - Two Python toolboxes for representational analysis.
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😋:📔 I'm also the author of the Python EEG data analysis handbook.
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📧📬 If you have any question about my projects, you can email me: zitonglu1996@gmail.com / lu.2637@osu.edu
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😃💡 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.
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😉👻 Focused Topics:
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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.
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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.
- NeuroRA: A Python toolbox of representational analysis from multimode neural data
- Python-EEG-Handbook: A easy-to-follow handbook for EEG data analysis based on Python
- EEG2EEG: A high-performance inter-individual EEG converter