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General Information

Full Name Yirong Xiong
Date of Birth 5th July 1996
Languages English, Mandarin

Education

  • 2021 - 2023
    M.Sc in Neural Information Processing
    Universität Tübingen, Tübingen, Germany
  • 2018 - 2021
    M.Sc in Psychology
    Beijing Normal University, Beijing, China
  • 2014 - 2018
    B.Sc in Information Management and Information System
    Sun Yat-Sen University, Guangdong, China

Experience

  • 2023 - present
    Drifting and reorientation in ring-attractors
    University of Konstanz, Dr. Vivek Hari Sridhar
    • Built ring attractor model and simulated spontaneous network activities.
    • Study drift and reorientation for goal-oriented navigation movement and its influence on synaptic strength.
  • 2023 - present
    Electrophysiological diversity of head direction neurons in thalamus and presubiculum
    Institute for Neurobiology, Dr. Andrea Burgalossi
    • Clustered head direction cells based on neural activities using unsupervised learning.
    • Identified cell preferences for clockwise and counterclockwise rotation, to study evolving of head direction representation in rodents.
  • 2022 - 2023
    Dissociated aperiodic and periodic neural dynamic
    Department of Computer Science, Dr. Anna Levina (Martius)
    • Dissociated aperiodic and periodic neural dynamics using LFP data from V1 and V4 in spatial visual attention task.
  • 2022 - present
    Rate-distortion theory as a model of human representation learning
    Cluster of Excellence "Machine Learning”, Dr. Charley Wu
    • Designed an online compositional bandit experiment for representation learning.
    • Designed an online experiment for value-based memory.
  • 2022
    Juvenile song detection
    Max Planck Institute For Ornithology, Dr. Daniela Vallentin
    • Designed juvenile song detection pipeline using DAS.
    • Designed UMAP interactive tool to check annotation efficiently.
  • 2021 - 2022
    UMAP labeling tool & Pitch learning model project
    Institute for Neurobiology, Dr. Lena Veit
    • Developed a Web-based tool for visualizing and relabeling syllables (Github link).
    • Disentangled factors in context-based pitch learning using regression models.
  • 2018 - 2021
    Corpus Callosum Topography Based on dMRI
    State Key Laboratory of Cognitive Neuroscience and Learning, Dr. Gaolang Gong
    • Developed a track-generating and filtering pipeline using Mrtrix3. Obtained fibers passing through the corpus callosum and connecting left and right hemispheres.
    • Generated individual corpus callosum topography based on HCP S1200 Database, and established group-averaged validated topographic maps with different weighting methods.
    • Designed a Web-based tool-CCmapping to provide full and interactive access to the topographic result using Three.js, WebGL, and Node.js.

Open Source Projects

  • 2021
    ccmapping
    • a Web-based tool to visualize the topographic result of corpus callosum.

Honors and Awards

  • 2021
    • IMPRS stipends (monthly funding for IMPRS 5-Year MSc/PhD program)

Academic Interests

  • Formation and generalization of cognitive map
    • Neural mechanisms and dynamics during spatial navigation
    • Causal inference and decision making in cognitive map
    • Neural dynamics in self-organized network

Other Interests

  • Hobbies: Electronic keyboard, marathon, birdwatching