1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
Lulu Gong, Shreya Saxena
Mixtures of linear dynamical systems (MoLDS) provide a path to model time-series data that exhibit diverse temporal dynamics across trajectories. However, its application remains c…
cs.NE2023★ 1 cited
Strong anti-Hebbian plasticity alters the convexity of network attractor landscapes
Lulu Gong, Xudong Chen, ShiNung Ching
In this paper, we study recurrent neural networks in the presence of pairwise learning rules. We are specifically interested in how the attractor landscapes of such networks become…
q-bio.NC2023
Astrocytes as a mechanism for meta-plasticity and contextually-guided network function
Lulu Gong, Fabio Pasqualetti, Thomas Papouin +1
Astrocytes are a ubiquitous and enigmatic type of non-neuronal cell and are found in the brain of all vertebrates. While traditionally viewed as being supportive of neurons, it is…