Tracking fast and slow changes in synaptic weights from simultaneously observed pre-and postsynaptic spiking G Wei, IH Stevenson Neural computation 33 (10), 2682-2709, 2021 | 9 | 2021 |
Dynamic modeling of spike count data with Conway-Maxwell Poisson variability G Wei, IH Stevenson Neural Computation 35 (7), 1187-1208, 2023 | 6 | 2023 |
Predictable fluctuations in excitatory synaptic strength due to natural variation in presynaptic firing rate N Ren, G Wei, A Ghanbari, IH Stevenson Journal of Neuroscience 42 (46), 8608-8620, 2022 | 4 | 2022 |
Bayesian clustering of neural spiking activity using a mixture of dynamic poisson factor analyzers G Wei, IH Stevenson, X Wang Advances in Neural Information Processing Systems 35, 19499-19510, 2022 | 1 | 2022 |
A Flexible Bayesian Clustering of Dynamic Subpopulations in Neural Spiking Activity G Wei, IH Stevenson, X Wang arXiv preprint arXiv:2205.10639, 2022 | 1 | 2022 |
Stream-level flow matching from a Bayesian decision theoretic perspective G Wei, L Ma arXiv preprint arXiv:2409.20423, 2024 | | 2024 |
Nonparametric Covariance Regression for Massive Neural Data on Restricted Covariates via Graph G Wei arXiv preprint arXiv:2409.19717, 2024 | | 2024 |
Calibrating Bayesian decoders of neural spiking activity G Wei, ZT Mansouri, X Wang, IH Stevenson Journal of Neuroscience 44 (18), 2024 | | 2024 |
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures G Wei The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
Bayesian dynamic modeling of neural spiking activity G Wei University of Connecticut, 2023 | | 2023 |