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 | 361 | 2015 |
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 | 190 | 2009 |
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 | 176 | 2011 |
Cell groups reveal structure of stimulus space C Curto, V Itskov PLoS computational biology 4 (10), e1000205, 2008 | 160 | 2008 |
What can topology tell us about the neural code? C Curto Bulletin of the American Mathematical Society 54 (1), 63-78, 2017 | 122 | 2017 |
The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes C Curto, V Itskov, A Veliz-Cuba, N Youngs Bulletin of mathematical biology 75, 1571-1611, 2013 | 121 | 2013 |
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 | 98 | 2003 |
What makes a neural code convex? C Curto, E Gross, J Jeffries, K Morrison, M Omar, Z Rosen, A Shiu, ... SIAM Journal on Applied Algebra and Geometry 1 (1), 222-238, 2017 | 88 | 2017 |
How do neurons work together? Lessons from auditory cortex KD Harris, P Bartho, P Chadderton, C Curto, J de la Rocha, L Hollender, ... Hearing research 271 (1-2), 37-53, 2011 | 77 | 2011 |
Population coding of tone stimuli in auditory cortex: dynamic rate vector analysis P Bartho, C Curto, A Luczak, SL Marguet, KD Harris European Journal of Neuroscience 30 (9), 1767-1778, 2009 | 51 | 2009 |
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 | 42 | 2013 |
Fixed points of competitive threshold-linear networks C Curto, J Geneson, K Morrison Neural computation 31 (1), 94-155, 2019 | 37 | 2019 |
Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience C Curto, K Morrison Current opinion in neurobiology 58, 11-20, 2019 | 36 | 2019 |
Flexible memory networks C Curto, A Degeratu, V Itskov Bulletin of mathematical biology 74, 590-614, 2012 | 36 | 2012 |
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 | 34* | 2024 |
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 |
Threefold flops via matrix factorization C Curto, DR Morrison J. Alg. Geom 22, 599, 2013 | 31* | 2013 |
Pattern completion in symmetric threshold-linear networks C Curto, K Morrison Neural computation 28 (12), 2825-2852, 2016 | 30 | 2016 |
Encoding binary neural codes in networks of threshold-linear neurons C Curto, A Degeratu, V Itskov Neural computation 25 (11), 2858-2903, 2013 | 25 | 2013 |
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 |