Preprints

  • Duncker L, Sahani M (2018). Temporal alignment and latent Gaussian process factor inference in population spike trains. bioRxiv 331751; doi: https://doi.org/10.1101/331751

Conference Abstracts

  • Duncker L, Sahani M (2018, poster). Disentangling neural population variability using time-warped point-process GPFA. Frontiers in Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE), Denver, CO. II-87.

  • Duncker L, O’Shea DJ, Goo W, Shenoy KV, Sahani M (2017, talk). Low-rank non-stationary population dynamics can account for robustness to optogenetic stimulation. Frontiers in Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE), Salt Lake City, UT. T-29.

  • Duncker L, Ravi S, Field GD, Pillow JW (2017, poster). Scalable variational inference for low-rank receptive fields with nonstationary smoothness. Frontiers in Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE), Salt Lake City, UT. I-86.

  • Adam V, Duncker L, Sahani M (2017, poster). Continuous-time point-process GPFA using sparse variational methods. Frontiers in Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE), Salt Lake City, UT. I-2.