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Chad Giusti

Showing results (1-10 of 13) with videos related to

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Neural Computation|August 24, 2014
A no-go theorem for one-layer feedforward networksChad Giusti, Vladimir Itskov
Journal of Computational Neuroscience|June 12, 2016
Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural dataChad Giusti, Robert Ghrist, Danielle S Bassett
Discrete & Computational Geometry|October 2, 2019
On open and closed convex codesJoshua Cruz, Chad Giusti, Vladimir Itskov, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 22, 2015
Clique topology reveals intrinsic geometric structure in neural correlationsChad Giusti, Eva Pastalkova, Carina Curto, et al.
Frontiers in Artificial Intelligence|October 28, 2021
Minimal Cycle Representatives in Persistent Homology Using Linear Programming: An Empirical Study With User's GuideLu Li, Connor Thompson, Gregory Henselman-Petrusek, et al.
Nature Human Behaviour|October 19, 2018
Knowledge gaps in the early growth of semantic feature networksAnn E Sizemore, Elisabeth A Karuza, Chad Giusti, et al.
Plos One|June 30, 2016
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network ConstructionZitong Zhang, Qawi K Telesford, Chad Giusti, et al.
Physical Review. E|October 15, 2016
Topological and geometric measurements of force-chain structureChad Giusti, Lia Papadopoulos, Eli T Owens, et al.
Arxiv|April 8, 2025
TRACKING THE TOPOLOGY OF NEURAL MANIFOLDS ACROSS POPULATIONSIris H R Yoon, Gregory Henselman-Petrusek, Yiyi Yu, et al.
Journal of Computational Neuroscience|November 17, 2017
Cliques and cavities in the human connectomeAnn E Sizemore, Chad Giusti, Ari Kahn, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neural Computation|August 24, 2014
A no-go theorem for one-layer feedforward networksChad Giusti, Vladimir Itskov
Journal of Computational Neuroscience|June 12, 2016
Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural dataChad Giusti, Robert Ghrist, Danielle S Bassett
Discrete & Computational Geometry|October 2, 2019
On open and closed convex codesJoshua Cruz, Chad Giusti, Vladimir Itskov, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 22, 2015
Clique topology reveals intrinsic geometric structure in neural correlationsChad Giusti, Eva Pastalkova, Carina Curto, et al.
Frontiers in Artificial Intelligence|October 28, 2021
Minimal Cycle Representatives in Persistent Homology Using Linear Programming: An Empirical Study With User's GuideLu Li, Connor Thompson, Gregory Henselman-Petrusek, et al.
Nature Human Behaviour|October 19, 2018
Knowledge gaps in the early growth of semantic feature networksAnn E Sizemore, Elisabeth A Karuza, Chad Giusti, et al.
Plos One|June 30, 2016
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network ConstructionZitong Zhang, Qawi K Telesford, Chad Giusti, et al.
Physical Review. E|October 15, 2016
Topological and geometric measurements of force-chain structureChad Giusti, Lia Papadopoulos, Eli T Owens, et al.
Arxiv|April 8, 2025
TRACKING THE TOPOLOGY OF NEURAL MANIFOLDS ACROSS POPULATIONSIris H R Yoon, Gregory Henselman-Petrusek, Yiyi Yu, et al.
Journal of Computational Neuroscience|November 17, 2017
Cliques and cavities in the human connectomeAnn E Sizemore, Chad Giusti, Ari Kahn, et al.
Pageof 2