Our group is interested in understanding principles that underlie learning and inference in the brain and machines, mainly by using tools from machine learning and statistics.

**Inference in probabilistic graphical models by graph neural networks**

**Yoon, KJ.**, Liao, R., Xiong, Y., Zhang, L., Fetaya, E., Urtasun, R., Zemel, R., & Pitkow, X.

*arXiv:1803.07710 (2018)*

ICML (2019), Workshop on Tractable Probabilistic Modeling **(Best Paper Award)**

**Reviving and improving recurrent backpropagation**

Liao, R., Xiong, Y., Fetaya, E., Zhang, L., **Yoon, KJ.**, Pitkow, X., Urtasun, R., & Zemel, R.

*ICML (2018)* [pdf]

**A map-like micro-organization of grid cells in the medial entorhinal cortex**

Gu, Y., Lewallen, S., Kinkhabwala, A. A., Domnisoru, C., **Yoon, KJ.**, Gauthier, J., Fiete, I. R., and Tank, D. W.

*Cell (2018)* [pdf]

**Yoon, KJ.**, & Pitkow, X. “Learning nonlinearities for identifying regular structure in the brain’s inference algorithm.”,*Cosyne*(2018)**Yoon, KJ.**, & Fiete, I. R. “Statistical framework for encoding and decoding grid cell population activity.”,*Society for Neuroscience*(2014)**Yoon, KJ.***, Lewallen, S.*, Kinkhabwala, A. A., Tank, D. W., & Fiete, I. R. “Grid cell responses in 1-d environments are consistent with 2-d continuous attractor dynamics.”,*Society for Neuroscience*(2013)- Lewallen, S.*,
**Yoon, KJ.***, Kinkhabwala, A. A., Domnisoru, C., Tank, D. W., & Fiete, I. R. “1D grid fields are slices of a 2D hexagonal lattice.”,*Society for Neuroscience*, (2013) **Yoon, KJ.**, Robles-Llana, D., Kinkhabwala, A. A., Tank, D. W., & Fiete, I. R. “Are aperiodic 1D grid cell responses consistent with low-dimensional continuous attractor dynamics?”,*Computational and Systems Neuroscience*, (2013)**Yoon, KJ.**, Barry, C., Buice, M. A., Burgess, N. & Fiete, I. R. “Are grid-cell responses very low-dimensional?”,*Computational and Systems Neuroscience*, (2012)**Yoon, KJ.**, Barry, C., Burgess, N., & Fiete, I. R. “Assessing the role of feedback in spatially patterened grid cell responses.”*Society for Neuroscience*, (2010)