Scalable inference of functional neural connectivity at submillisecond timescales
The Poisson Generalized Linear Model (GLM) is a foundational tool for analyzing neural spike train data. However, standard implementations rely…
arXiv:2510.20966Statistical Analysis of Neural Data
We develop statistical models and open-source computational tools to extract insights from neural data. We are particularly interested in characterizing flexibility and variability in neural circuits—e.g., how do the dynamics of large neural ensembles change over the course of learning a new skill, during periods of high attention or task engagement, or during development and aging.
Summarizing these processes even on a descriptive level is a difficult and unsolved challenge in need of new analysis tools.
Laboratory for Neural Statistics website
Publications
Comprehensive characterization of human color discrimination thresholds
Fangfang Hong, Ruby Bouhassira, Jason Chow, Craig Sanders, Michael Shvartsman, Phillip Guan, A. Williams, D. H. Brainard
Discrimination thresholds reveal the limits of human perception; scientists have studied them since the time of Fechner in the 1800s.…
bioRxiv: 2025.07. 16.665219Hippocampal neuronal activity is aligned with action plans
Ipshita Zutshi, Athina Apostolelli, Wannan Yang, S. Zheng, Tora Dohi, E. Balzani, A. Williams, C. Savin, György Buzsáki
Neurons in the hippocampus are correlated with different variables, including space, time, sensory cues, rewards and actions, in which the…
Nature
