Wei Lab
Principal Investigator: Xuexin Wei
Institution: The University of Texas at Austin (Austin, TX)
Primary Subfield: Computational Biology
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
Project Summary Computational neuroscience has entered a new era of greatly increased capability to record neuronal activity and to construct large-scale computational models. The challenge before us is to connect theory and experiment by testing and comparing complex brain-computational models with massive measurements of neural activity. Con- necting experimental results to computational models is critical for deepening our understanding of the neural circuit computations that collectively give rise to perception, cognition, and behavior, basic brain functions with fundamental clinical implications. This project would launch a close collaboration between theorists and experi- mentalists to develop a rigorous and comprehensive methodology for evaluation and comparison of our new big models with our new big data. A central concept that has gained momentum over the past two decades is the concept of representational geometry. The representational geometry is the geometry of the points or trajectories in the multivariate neural population response space that are thought to represent the contents of brain compu- tations. Although a variety of estimators of representational distance ha…
Active NIH Awards
- 5R01DA060742-02: Representational geometry: evaluating brain-computational models with neural activity data (2026)
- 1R01DA060742-01: Representational geometry: evaluating brain-computational models with neural activity data (2025)
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