Carina Curto

Professor of Mathematics

Research Summary

Mathematics applied to and arising from theoretical and computational neuroscience. Neural network theory and neural coding. Applied algebra, topology, and geometry.

Huck Affiliations

Center for Neural Engineering

Neuroscience Institute

Center for Mathematical Biology

Publication Tags

These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.

Fixed Point Neurons Nonlinear Dynamics Graph In Graph Theory Brain Synapses Topology Synapse Neuroscience Retinal Cone Photoreceptor Cells Rapid Eye Movement Sleep Attractor Graphics Calculi Neuron Neural Networks Neurosciences Completion Cone Photoreceptor Meaningful Structure Synaptic Transmission Sound Connectivity Data Replenishment Geometric Structure

Most Recent Publications

Stable fixed points of combinatorial threshold-linear networks

Carina Curto, Jesse Geneson, Katherine Morrison, 2024, Advances in Applied Mathematics

Diversity of Emergent Dynamics in Competitive Threshold-Linear Networks

Katherine Morrison, Anda Degeratu, Vladimir Itskov, Carina Curto, 2024, SIAM Journal on Applied Dynamical Systems on p. 855-884

Graph Rules for Recurrent Neural Network Dynamics

Carina Curto, Katherine Morrison, 2023, Notices of the American Mathematical Society on p. 536-551

Graph rules for recurrent neural network dynamics: extended version

Carina Curto, K Morrison, 2023, arXiv preprint arXiv:2301.12638

Periodic neural codes and sound localization in barn owls

Lindsey S. Brown, Carina Curto, 2022, Involve on p. 1-37

Core motifs predict dynamic attractors in combinatorial threshold-linear networks

Caitlyn Parmelee, Samantha Moore, K Morrison, Carina Curto, 2022, PLoS One on p. e0264456

Sequential Attractors in Combinatorial Threshold-Linear Networks

Caitlyn Parmelee, Juliana Alvarez, Carina Curto, K Morrison, 2022, SIAM Journal on Applied Dynamical Systems on p. 1597--1630

Nerve Theorems for Fixed Points of Neural Networks

Daniela Egas Santander, Stefania Ebli, Alice Patania, Nicole Sanderson, Felicia Burtscher, Katherine Morrison, Carina Curto, 2022, on p. 129-165

Nerve theorems for fixed points of neural networks

Daniela Santander, Stefania Ebli, Alice Patania, Nicole Sanderson, Felicia Burtscher, K Morrison, Carina Curto, 2022, on p. 129--165

Sequence generation in inhibition-dominated neural networks

Caitlyn Parmelee, Juliana Alvarez, Carina Curto, K Morrison, 2022, arXiv preprint arXiv:2212.08211

Most-Cited Papers

Clique topology reveals intrinsic geometric structure in neural correlations

Chad Giusti, Eva Pastalkova, Carina Curto, Vladimir Itskov, 2015, Proceedings of the National Academy of Sciences of the United States of America on p. 13455-13460

What can topology tell us about the neural code?

Carina Curto, 2017, Bulletin of the American Mathematical Society on p. 63-78

What makes a neural code convex?

Carina Curto, Elizabeth Gross, Jack Jeffries, Katherine Morrison, Mohamed Omar, Zvi Rosen, Anne Shiu, Nora Youngs, 2017, SIAM Journal on Applied Algebra and Geometry on p. 222-238

Calmodulin enhances ribbon replenishment and shapes filtering of synaptic transmission by cone photoreceptors

Matthew J. van Hook, Caitlyn M. Parmelee, Minghui Chen, Karlene M. Cork, Carina Curto, Wallace B. Thoreson, 2014, Journal of General Physiology on p. 357-378

Fixed points of competitive threshold-linear networks

Carina Curto, Jesse Geneson, Katherine Morrison, 2019, Neural Computation on p. 94-155

Modeling and measurement of vesicle pools at the cone ribbon synapse: Changes in release probability are solely responsible for voltage-dependent changes in release

Wallace B. Thoreson, Matthew J. Van hook, Caitlyn Parmelee, Carina Curto, 2016, Synapse on p. 1-14

Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience

Carina Curto, Katherine Morrison, 2019, Current Opinion in Neurobiology on p. 11-20

Pattern completion in symmetric threshold-linear networks

Carina Curto, Katherine Morrison, 2016, Neural Computation on p. 2825-2852

Predicting Neural Network Dynamics via Graphical Analysis

Katherine Morrison, Carina Curto, 2018, on p. 241-277

Algebraic signatures of convex and non-convex codes

Carina Curto, Elizabeth Gross, Jack Jeffries, Katherine Morrison, Zvi Rosen, Anne Shiu, Nora Youngs, 2019, Journal of Pure and Applied Algebra on p. 3919-3940

News Articles Featuring Carina Curto

Jun 29, 2020

Penn State faculty members express concerns regarding university’s fall reopening plan

While Penn State faculty and staff feel a return to in-person instruction will benefit students academically, it may not be worth the health risks posed by the coronavirus.

Full Article

Apr 21, 2020

The Theorem That Applies to Everything from Search Algorithms to Epidemiology

On a recent episode of our podcast My Favorite Theorem, my cohost Kevin Knudson and I talked with Carina Curto, a mathematician at Penn State University who specializes on mathematics applied to biology and neuroscience. You can listen to the episode here or at kpknudson.com, where there is also a transcript.