Vladimir Itskov

Associate Professor of Mathematics

Vladimir Itskov

Huck Affiliations

Publication Tags

Brain Neurons Data Storage Equipment Neuron Information Theory Sensing Layer Ring Matrix Hyperplane Noise Closed Encoding Dentate Gyrus Code Memory Hippocampus Neurosciences Decomposition Graphs Animals Quasiconvex Functions Error Correction Neuroscience Pyramidal Cells

Most Recent Papers

A topological approach to inferring the intrinsic dimension of convex sensing data

Min Chun Wu, Vladimir Itskov, 2022, Journal of Applied and Computational Topology on p. 127-176

Hyperplane Neural Codes and the Polar Complex

Vladimir Itskov, Alexander Kunin, Zvi Rosen, 2020, on p. 343-369

On open and closed convex codes

Joshua Cruz, Chad Giusti, Vladimir Itskov, Bill Kronholm, 2019, Discrete and Computational Geometry on p. 247-270

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

A no-go theorem for one-layer feedforward networks

Chad Giusti, Vladimir Itskov, 2014, Neural Computation on p. 2527-2540

Encoding binary neural codes in networks of threshold-linear neurons

Carina Curto, Anda Degeratu, Vladimir Itskov, 2013, Neural Computation on p. 2858-2903

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

Carina Curto, Vladimir Itskov, Alan Veliz-Cuba, Nora Youngs, 2013, The Bulletin of Mathematical Biophysics on p. 1571-1611

Combinatorial neural codes from a mathematical coding theory perspective

Carina Curto, Vladimir Itskov, Katherine Morrison, Zachary Roth, Judy L. Walker, 2013, Neural Computation on p. 1891-1925

Flexible memory networks

Carina Curto, Anda Degeratu, Vladimir Itskov, 2012, The Bulletin of Mathematical Biophysics on p. 590-614

Effects of adult-generated granule cells on coordinated network activity in the dentate gyrus

Clay O. Lacefield, Vladimir Itskov, Thomas Reardon, René Hen, Joshua A. Gordon, 2012, Hippocampus on p. 106-116

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

Effects of adult-generated granule cells on coordinated network activity in the dentate gyrus

Clay O. Lacefield, Vladimir Itskov, Thomas Reardon, René Hen, Joshua A. Gordon, 2012, Hippocampus on p. 106-116

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

Carina Curto, Vladimir Itskov, Alan Veliz-Cuba, Nora Youngs, 2013, The Bulletin of Mathematical Biophysics on p. 1571-1611

Combinatorial neural codes from a mathematical coding theory perspective

Carina Curto, Vladimir Itskov, Katherine Morrison, Zachary Roth, Judy L. Walker, 2013, Neural Computation on p. 1891-1925

A no-go theorem for one-layer feedforward networks

Chad Giusti, Vladimir Itskov, 2014, Neural Computation on p. 2527-2540

On open and closed convex codes

Joshua Cruz, Chad Giusti, Vladimir Itskov, Bill Kronholm, 2019, Discrete and Computational Geometry on p. 247-270

Encoding binary neural codes in networks of threshold-linear neurons

Carina Curto, Anda Degeratu, Vladimir Itskov, 2013, Neural Computation on p. 2858-2903

Flexible memory networks

Carina Curto, Anda Degeratu, Vladimir Itskov, 2012, The Bulletin of Mathematical Biophysics on p. 590-614

Hyperplane Neural Codes and the Polar Complex

Vladimir Itskov, Alexander Kunin, Zvi Rosen, 2020, on p. 343-369

A topological approach to inferring the intrinsic dimension of convex sensing data

Min Chun Wu, Vladimir Itskov, 2022, Journal of Applied and Computational Topology on p. 127-176