Staff Profiles

Xiaoxuan Jia, Ph.D.

Scientist II

Xiaoxuan Jia joined the Allen Institute in 2016 as Scientist II in the neural coding group. The main focus of her research is to study how visual information is encoded and transmitted by analyzing simultaneously recorded neural population activity from multiple areas in mouse, and making use of optogenetic tools to manipulate the circuits. Before joining Allen Institute, she was a postdoc with Dr. James DiCarlo at MIT where she studied invariant object recognition in primates and human, specifically the unsupervised learning aspect of object recognition. Xiaoxuan got her B.S. from Tsinghua University and Ph.D. in Systems Neuroscience from Albert Einstein College of Medicine, where she studied early visual cortex in primates at Dr. Adam Kohn’s lab.


Research Interests

Coming soon.


  • Systems neuroscience
  • Computational neuroscience
  • Visual cortex
  • Brain rhythms
  • Object recognition
  • Machine learning

Research Programs

  • Neural Coding

Selected Publications

Experience shapes activity dynamics and stimulus coding of VIP inhibitory and excitatory cells

July 1, 2019

Garrett M, Manavi S, Roll K, Ollerenshaw D, Groblewski P, Kiggins J, Jia X, Casal L, Mace K, Williford A, Leon A, Mihalas S, Olsen SR

High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification

Journal of Neurophysiology
March 6, 2019

Jia X, Siegle JH, Bennett C, Gale SD, Denman DJ, Koch C, Olsen SR