activity
20002025
most citedClique topology reveals intrinsic geometric structure in neural correlations

413 citations · 434 across the 13 of their papers we have counts for

collaborators

15 papers

math.AT2025

Dowker's theorem for higher-order relations

Vin de Silva, Chad Giusti, Vladimir Itskov +5

Given a relation between two sets, Dowker's Theorem (1952) states that the homology groups of two associated simplicial complexes, now known as Dowker comp…

math.AT2023

On the spectrum of the Hodge Laplacian on sequences

Hannah Santa Cruz Baur, Vladimir Itskov

Hodge Laplacians have been previously proposed as a natural tool for understanding higher-order interactions in networks and directed graphs. Here we introduce a Hodge-theoretic ap…

q-bio.NC2022

The combinatorial code and the graph rules of Dale networks

Nikola Milićević, Vladimir Itskov

We describe the combinatorics of equilibria and steady states of neurons in threshold-linear networks that satisfy Dale's law. The combinatorial code of a Dale network is character…

math.AT2020

A Topological Approach to Inferring the Intrinsic Dimension of Convex Sensing Data

Min-Chun Wu, Vladimir Itskov

We consider a common measurement paradigm, where an unknown subset of an affine space is measured by unknown continuous quasi-convex functions. Given the measurement data, can one…

q-bio.NC2018

Hyperplane Neural Codes and the Polar Complex

Vladimir Itskov, Alex Kunin, Zvi Rosen

Hyperplane codes are a class of convex codes that arise as the output of a one layer feed-forward neural network. Here we establish several natural properties of stable hyperplane…

math.CO2016★ 8 cited

On open and closed convex codes

Joshua Cruz, Chad Giusti, Vladimir Itskov +1

Neural codes serve as a language for neurons in the brain. Convex codes, which arise from the pattern of intersections of convex sets in Euclidean space, are of particular relevanc…

math.FA2016

Sobolev subspaces of nowhere bounded functions

Pier Domenico Lamberti, Giorgio Stefani

We prove that in any Sobolev space which is subcritical with respect to the Sobolev Embedding Theorem there exists a closed infinite dimensional linear subspace whose non zero elem…

q-bio.NC2015★ 2 cited

Clique topology of real symmetric matrices

Carina Curto, Chad Giusti, Vladimir Itskov

This is the Supplementary Text for "Clique topology reveals intrinsic geometric structure in neural correlations," by Chad Giusti, Eva Pastalkova, Carina Curto, and Vladimir Itskov…

q-bio.NC2015★ 413 cited

Clique topology reveals intrinsic geometric structure in neural correlations

Chad Giusti, Eva Pastalkova, Carina Curto +1

Detecting meaningful structure in neural activity and connectivity data is challenging in the presence of hidden nonlinearities, where traditional eigenvalue-based methods may be m…

q-bio.NC2013★ 1 cited

A no-go theorem for one-layer feedforward networks

Chad Giusti, Vladimir Itskov

It is often hypothesized that a crucial role for recurrent connections in the brain is to constrain the set of possible response patterns, thereby shaping the neural code. This imp…

q-bio.NC2012

Combinatorial neural codes from a mathematical coding theory perspective

Carina Curto, Vladimir Itskov, Katherine Morrison +2

Shannon's seminal 1948 work gave rise to two distinct areas of research: information theory and mathematical coding theory. While information theory has had a strong influence on t…

q-bio.NC2012★ 2 cited

The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes

Carina Curto, Vladimir Itskov, Alan Veliz-Cuba +1

Neurons in the brain represent external stimuli via neural codes. These codes often arise from stereotyped stimulus-response maps, associating to each neuron a convex receptive fie…

q-bio.NC2012

Encoding binary neural codes in networks of threshold-linear neurons

Carina Curto, Anda Degeratu, Vladimir Itskov

Networks of neurons in the brain encode preferred patterns of neural activity via their synaptic connections. Despite receiving considerable attention, the precise relationship bet…

q-bio.NC2010

Flexible Memory Networks

Carina Curto, Anda Degeratu, Vladimir Itskov

Networks of neurons in some brain areas are flexible enough to encode new memories quickly. Using a standard firing rate model of recurrent networks, we develop a theory of flexibl…

math.DG2000★ 8 cited

Orbit reduction of exterior differential systems, and group-invariant variational problems

Vladimir Itskov

For For a given PDE system, or an exterior differential system possessing a Lie group of internal symmetries the orbit reduction procedure is introduced. It is proved that the solu…