cv

M.Sc in Neural Information Processing

Universität Tübingen, Tübingen, Germany

M.Sc in Psychology

Beijing Normal University, Beijing, China

B.Sc in Information Management and Information System

Sun Yat-Sen University, Guangdong, China

Topology and dynamics of camouflage in cuttlefish

Max Planck Institute for Brain Research, Prof. Gilles Laurent

• Estimate the topology of camouflage in high dimensional space and investigate the dynamics of behaviour trajectory.
• Conduct experiments on camouflage behaviour.

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.

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.

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.

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.

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.

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.

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.

ccmapping

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

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