Hi, I'm Xiao-Xiong Lin.
A
computational neuroscientist who wants to understand and enable others to understand
About
I completed my PhD in Computational Neuroscience in September 2023, and I am currently a postdoc at the Bernstein Center Freiburg, Germany, working with Christian Leibold. I develop deep reinforcement learning agents with brain-inspired architectures in simulated realistic environments to test neuroscience theories and to make deep RL more efficient. I am interested in collaborations and positions in the field of deep reinforcement learning and/or theoretical (systems) neuroscience.
Research Interest
some keywords to describe my interests:
prefrontal cortex, hippocampus, working memory, sparsity, dynamical system, system identification, eliminative materialism
reservoir computing, world model
--------and it's obsolete below: 🤫
My primary research interest is centered on uncovering the fundamental principles of intelligence in biological organisms. I approach this by formally describing and abstracting the physiological observations then analogizing them with engineered intelligent systems. In other words, I am inspired deeply by physics, control science and machine learning.
Currently I am very interested in taking neuroscience insights into engineering practice.
Publications
Computational and systems neuroscience
- Lin, X.-X., Yiu, Y.-H., Leibold, C. (2026). Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence Generator. ICLR.
- Lin, X.-X., Nieder, A., Jacob, S.N.(2023). The neuronal implementation of representational geometry in primate prefrontal cortex. Science Advances.
- Eisenkolb, V. M., Held, L. M., Utzschmid, A., Lin, X.-X., Krieg, S. M., Meyer, B., ... & Jacob, S. N. (2023). Human acute microelectrode array recordings with broad cortical access, single-unit resolution and parallel behavioral monitoring. Cell Reports.
Cognitive neuroscience
- Bao, Y., Pöppel, E., Wang, L., Lin, X., Yang, T., Avram, M., ... Vedder, A. (2015). Synchronization as a biological, psychological and social mechanism to create common time: a theoretical frame and a single case study. PsyCh Journal, 4(4), 243-254.
- Bao, Y., Yang, T., Lin, X., & Pöppel, E. (2016). Donders revisited: Discrete or continuous temporal processing underlying reaction time distributions? PsyCh Journal, 5(3), 177-179.
- Wang, L., Bao, Y., Zhang, J., Lin, X., Yang, L., Pöppel, E., & Zhou, B. (2016). Scanning the world in three seconds: Mismatch negativity as an indicator of temporal segmentation. PsyCh Journal, 5(3), 170-176.
- Wang, L., Lin, X., Zhou, B., Pöppel, E., & Bao, Y. (2015). Subjective present: a window of temporal integration indexed by mismatch negativity. Cognitive Processing, 16(1), 131-135.
- Wang, L., Lin, X., Zhou, B., Pöppel, E., & Bao, Y. (2016). Rubberband effect in temporal control of mismatch negativity. Frontiers in Psychology, 7.
Neural aesthetics
- Bao, Y., Yang, T., Zhang, J., Zhang, J., Lin, X., Paolini, M., ... & Silveira, S. (2017). The "third abstraction" of the Chinese artist LaoZhu: Neural and behavioral indicators of aesthetic appreciation. PsyCh Journal, 6(2), 110-119.
- Bao, Y., Yang, T., Lin, X., Fang, Y., Wang, Y., Pöppel, E., & Lei, Q. (2016). Aesthetic Preferences for Eastern and Western Traditional Visual Art: Identity Matters. Frontiers in Psychology, 7.
Education
Munich, Germany
2016-2023
Degree:
PhD in computational and systems neuroscience
Experience
- Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
- Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
- Improved the response time by 20% by refactoring the codebase and changing database design and queries.
- Added a bulk upload feature which reduced the manual work of adding products into a database.
- Tools: Python, Flask, MongoDB
- Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
- Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
- Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
- Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
- Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
- Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
- Created an alert system to send notifications and emails when the parameters exceed the threshold.
- Tools: Python, Flask, JavaScript
- Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
- Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
- Tools: Python, Scikit-learn, NLTK
Miscellaneous
real-time audience emotion feedback.
- Tools: HTML, CSS, JavaScript, face-api.js
- Web app to recognize audience's emotion
- send data to concert control panel in real time
Skills
Languages and Databases
Python
HTML5
CSS3
MySQL
PostgreSQL
Shell Scripting
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch
Other
Git
AWS
Heroku


