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I'm Hao Wang 🇨🇳 !

  • 🎓 Hao Wang, M.E. Candidate, is the postgraduate student of Computer Applied Technology. He is with the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research at Beijing Normal University. Wang holds a B.E. in Computer Science and Engineering from Anhui Normal University (2014-2018), and has been on postgraduate student at Beijing Normal University since then.

  • Wang is a member of Li's BCI Lab (Brain-Computer-Interface), which aim to help restore lost motor function to people with paralysis. Our research focus on Brain-computer interface technology and related neuroscience issues, including real-time decoding algorithms for motor cortex neural signals. In our lab, we use Plexon Omniplex to record Macaque's neural signal and decode its motor intention(mouse cursor) on the computer screen.

  • 😃💡 Research Interests: Data Mining, Artificial Intelligence , Machine Learning, Neural Computation ,Control theory

  • 👀🔭 Future goals: 1️⃣ Decoding: Explore how motor cortex encodes motor information by means of electrophysiology data or other modal data. :two: Combine Cognitive Neuroscience & Computer Science: Explore the similar or different representations and connections between biological brain and Artificial Intelligence models(interdisciplinary of cognitive neuroscience & computer science/control theory). :three: Neuromodulation: Using neuroscience methhods to enhance human being's cognitive ability.

  • 📧 If you have any question about my projects, you can email me: [email protected]


Research

  • Motor Cortical Spikes Decoding on Matlab: Motor Cortex Decoding based on MATLAB (including Spikes and Local Field Potentials). Wang is a member of Li’s BCI Lab (Brain-Computer-Interface) at Beijing Normal University, where his group conducts neuroscience and neuroengineering research to better understand how the brain controls movement and to design medical systems to assist those with movement disabilities. His neuroscience research investigates the neural basis of movement preparation and generation using a combination of electrophysiological, behavioral, computational and theoretical techniques. His neuroengineering research investigates the design of high-performance neural prosthetic systems, which are also known as brain-computer interfaces and brain-machine interfaces. These systems translate neural activity from the brain into control signals for prosthetic devices, which assist people with paralysis by restoring lost function. This work includes statistical-signal processing, machine learning, low-power circuits and real-time system modeling and implementation.

Skills and Tools

  • Programming Language: MATLAB, C++, Python, LATEX, HTML, R

  • Modeling and Analysis: TensorFlow, Keras, Caffe, Pytorch, Scikit-learn

  • Software/System: Linux, Git, MATLAB parallel computing cluster, Docker

  • Surgical Technique: Primate Electrode Implantation Surgery

  • Neurobiological Techniques: Monkey Training, Electrophysiology Experiment, MRI Experimenter


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Hao Wang's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bindsnet icon bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brivl icon brivl

Bridging Vision and Language Model

clrs icon clrs

:notebook:solutions to clrs

conceptbert icon conceptbert

Implementation of ConceptBert: Concept-Aware Representation for Visual Question Answering

elegantpaper icon elegantpaper

ElegantPaper: An Elegant LaTeX Template for Working Papers

ernie icon ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

latex-templates icon latex-templates

Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal

leetcode-master icon leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

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