| A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex C Curto, S Sakata, S Marguet, V Itskov, KD Harris Journal of neuroscience 29 (34), 10600-10612, 2009 | 193 | 2009 |
| Algebraic signatures of convex and non-convex codes C Curto, E Gross, J Jeffries, K Morrison, Z Rosen, A Shiu, N Youngs Journal of pure and applied algebra 223 (9), 3919-3940, 2019 | 21 | 2019 |
| Analysis of combinatorial neural codes: An algebraic approach C Curto, A Veliz-Cuba, N Youngs Algebraic and Combinatorial Computational Biology, 213-240, 2019 | 5 | 2019 |
| Auroral source region: Plasma properties of the high‐latitude plasma sheet CA Kletzing, JD Scudder, EE Dors, C Curto Journal of Geophysical Research: Space Physics 108 (A10), 2003 | 100 | 2003 |
| Betti curves of rank one symmetric matrices C Curto, J Paik, I Rivin Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 5 | 2021 |
| Calmodulin enhances ribbon replenishment and shapes filtering of synaptic transmission by cone photoreceptors MJ Van Hook, CM Parmelee, M Chen, KM Cork, C Curto, WB Thoreson Journal of General Physiology 144 (5), 357-378, 2014 | 32 | 2014 |
| Cell assembly sequences arising from spike threshold adaptation keep track of time in the hippocampus V Itskov, C Curto, E Pastalkova, G Buzsáki Journal of Neuroscience 31 (8), 2828-2834, 2011 | 183 | 2011 |
| Cell groups reveal structure of stimulus space C Curto, V Itskov PLoS computational biology 4 (10), e1000205, 2008 | 160 | 2008 |
| Classification of Activity Patterns in Small Neural Networks in terms of Network Architecture D Olds | | 2021 |
| Clique topology of real symmetric matrices C Curto, C Giusti, V Itskov arXiv preprint arXiv:1502.06173, 2015 | 3 | 2015 |
| Clique topology reveals intrinsic geometric structure in neural correlations C Giusti, E Pastalkova, C Curto, V Itskov Proceedings of the National Academy of Sciences 112 (44), 13455-13460, 2015 | 373 | 2015 |
| Combinatorial Geometry of Threshold-Linear Networks C Curto, C Langdon, K Morrison arXiv preprint arXiv:2008.01032, 2020 | 6 | 2020 |
| Combinatorial neural codes from a mathematical coding theory perspective C Curto, V Itskov, K Morrison, Z Roth, JL Walker Neural computation 25 (7), 1891-1925, 2013 | 44 | 2013 |
| Core motifs predict dynamic attractors in combinatorial threshold-linear networks C Parmelee, S Moore, K Morrison, C Curto PloS one 17 (3), e0264456, 2022 | 18 | 2022 |
| Discrete biomathematics SF Altschul, M Pop, J Rusinko, E Dimitrova, A Jenkins, M Macauley, Q He, ... Handbook of Discrete and Combinatorial Mathematics, Second Edition, 1425-1514, 2017 | | 2017 |
| Diversity of emergent dynamics in competitive threshold-linear networks K Morrison, A Degeratu, V Itskov, C Curto SIAM Journal on Applied Dynamical Systems 23 (1), 855-884, 2024 | 40* | 2024 |
| Encoding binary neural codes in networks of threshold-linear neurons C Curto, A Degeratu, V Itskov Neural computation 25 (11), 2858-2903, 2013 | 27 | 2013 |
| Encoding binary patterns of neural activity in networks of threshold-linear neurons C Curto, A Degeratu, V Itskov | | |
| Finding hidden low dimensional structure in data distorted by monotone transformations C Curto, C Lienkaemper, J Londono-Alvarez, HR Santa Cruz 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0 | | |
| Fixed points of competitive threshold-linear networks C Curto, J Geneson, K Morrison Neural computation 31 (1), 94-155, 2019 | 41 | 2019 |
Vladimir ItskovThe Pennsylvania State University在 psu.edu 的电子邮件经过验证
