zitonglu1996 Goto Github PK

followers: 269.0 following: 34.0 repos: 34.0 gists: 0.0

Name: Zitong Lu

Type: User

Company: The Ohio State University

Bio: PhD Student in CogNeuro, OSU || 2023, Minor in Stats, OSU || 2021, MSci in CogNeuro, ECNU (China) || 2018, BEng in SoftwareEng, NEU (China)

Twitter: ZitongLu

Location: Columbus, Ohio, USA

Blog: https://zitonglu1996.github.io

Hi there 👋

I'm Zitong Lu from 🇨🇳 now in 🇺🇸 !

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

😉🎓 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.
👀🔑 Visual Perception, Cognitive Computational Neuroscience, NeuroAI.
😅🔆 I’m the author of NeuroRA and PyCTRSA - Two Python toolboxes for representational analysis.
😋:📔 I'm also the author of the first Chinese Python EEG data analysis handbook.
📧📬 If you have any question about my projects, you can email me: [email protected] / [email protected]
😃💡 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.
😉👻 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

Zitong Lu's Projects

brain_vs_dcnn_in_vstm

Dynamic Representation between Deep Neural Network and Human Brain in Visual Short-Term Memory

ccbbi_decoding_workshop

Codes for CCBBI student workshop - Decode brain representations based on Python

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

eeg2eeg

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

eeg_cross-temporal_decoding_demo

A demo script for EEG cross-temporal decoding

eeg_decoding_demo

Demo Code for EEG Decoding based on Python

eeg_decoding_demo_20210520

EEG_Decoding_Demo_20210520

erp_decoding_withchineseannotations

ERP decoding codes with detailed Chinese Annotations

facerepetitionsuppression_via_dcnn

Codes for "Facial representation comparisons between human brain and hierarchical deep convolutional neural network reveal a fatigue repetition suppression mechanism"

fcanet

Aligning functional connectivities between human brains and artificial neural networks achieves more brain-like models

feziodoshi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

img2eeg

Img2EEG: An encoding framework from images to human EEG signals

mahalanobis_distance

Calculate the Mahalanobis Distance

neurora

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)