Papers

---

Neural Network Dynamics

Diverse mean-field dynamics of clustered, inhibition-stabilized Hawkes networks via combinatorial threshold-linear networks C.L., Gabriel K. Ocker. Preprint, 2025

CA1 engram cell dynamics before and after learning Amy Monasterio, C.L., Siria Coello, Gabriel K. Ocker, Steve Ramirez, and Benjamin B. Scott. Preprint, 2024.

Insect olfaction

When non-canonical olfaction is optimal C.L., Meg A. Younger, and Gabriel K. Ocker, Preprint, 2025

Estimating Dimensionality of Neural Data

Using oriented matroids to find low rank structure in presence of nonlinearity Preprint, 2023

Convex Neural Codes

Order Forcing in Neural Codes Amzi Jeffs, C.L., and Nora Youngs. To appear in Discrete & Computational Geometry, 2025

Oriented Matroids and Combinatorial Neural Codes Alex Kunin, C.L., and Zvi Rosen. Combinatorial Theory, 2023.

Obstructions to convexity in neural codes C.L., Anne Shiu and Zev Woodstock. Advances in Applied Mathematics, 2017.

Fitness Landscapes

The geometry of partial fitness orders and an efficient method for detecting genetic interactions C.L., Lisa Lamberti, Dawn Drain, Niko Beerenwinkel, and Alex Gavryushkin. Journal of Mathematical Biology, 2018

PhD Thesis

---

Combinatorial geometry of neural codes, neural data analysis, and neural networks Penn State, 2022, advised by Carina Curto.

Recorded Talks

---

Identifying Low-Rank Structure Preserved by Nonlinear Transformations Graduate Student Combinatorics Conference, 2021

Oriented Matroids and Combinatorial Neural Codes New Mathematical Methods for Neuroscience, Fields Institute, 2020

---

Page template forked from evanca