| On a kinetic Fitzhugh–Nagumo model of neuronal network S Mischler, C Quiñinao, J Touboul Communications in mathematical physics 342, 1001-1042, 2016 | 70 | 2016 |
| Propagation of chaos for a subcritical Keller–Segel model D Godinho, C Quininao Annales de l'IHP Probabilités et statistiques 51 (3), 965-992, 2015 | 67 | 2015 |
| Innovation and the growth of human population VP Weinberger, C Quiñinao, PA Marquet Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017 | 48 | 2017 |
| Proposal of a hybrid approach for tumor progression and tumor-induced angiogenesis P Cumsille, A Coronel, C Conca, C Quiñinao, C Escudero Theoretical biology and medical modelling 12, 1-22, 2015 | 26 | 2015 |
| Local homeoprotein diffusion can stabilize boundaries generated by graded positional cues C Quiñinao, A Prochiantz, J Touboul Development 142 (10), 1860-1868, 2015 | 24 | 2015 |
| Clamping and Synchronization in the Strongly Coupled FitzHugh--Nagumo Model C Quininao, JD Touboul SIAM journal on applied dynamical systems 19 (2), 788-827, 2020 | 22 | 2020 |
| Limits and dynamics of randomly connected neuronal networks C Quininao, J Touboul Acta Applicandae Mathematicae 136, 167-192, 2015 | 20 | 2015 |
| A microscopic spiking neuronal network for the age-structured model C Quiñinao Acta Applicandae Mathematicae 146, 29-55, 2016 | 13 | 2016 |
| Weak and strong connectivity regimes for a general time elapsed neuron network model S Mischler, C Quiñinao, Q Weng Journal of Statistical Physics 173, 77-98, 2018 | 12 | 2018 |
| Triggering avalanches by transverse perturbations in a rotating drum V Salinas, C Quiñinao, S González, G Castillo Scientific Reports 11 (1), 13936, 2021 | 7 | 2021 |
| Coexistence, dispersal and spatial structure in metacommunities: a stochastic model approach M Tejo, C Quiñinao, R Rebolledo, PA Marquet Theoretical Ecology 14, 279-302, 2021 | 6 | 2021 |
| Competition and boundary formation in heterogeneous media: Application to neuronal differentiation B Perthame, C Quiñinao, J Touboul Mathematical Models and Methods in Applied Sciences 25 (13), 2477-2502, 2015 | 6 | 2015 |
| Control in probability for SDE models of growth population P Pérez-Aros, C Quiñinao, M Tejo Applied Mathematics & Optimization 86 (3), 44, 2022 | 4 | 2022 |
| Mathematical modeling in Neuroscience C Quininao Université Pierre et Marie Curie (Paris VI), 2015 | 1 | 2015 |
| Modelamiento matemático de crecimiento de tumores, acoplado con angiogénesis tumoral y su uso en la investigación de nuevas estrategias de tratamiento del cáncer P Cumsille, C Quiñinao, C Conca, T Colin, O Saut Workshop Iberoamericano de Matemáticas Aplicadas (págs. 1-14). Chillán, Chile, 2010 | 1 | 2010 |
| Persistence and neutrality in interacting replicator dynamics, and invariant measures for the McKean-Vlasov replicator L Videla, M Tejo, C Quiñinao, PA Marquet, R Rebolledo arXiv preprint arXiv:2310.02809, 2023 | | 2023 |
| Innovation and the growth of human population VP Weinberger Illanes, C Quininao, PA Marquet | | 2017 |
| Modelamiento y Simulación Numérica del Crecimiento de Tumores y de Algunas Terapias Antitumorales CS Quiñinao Montero Universidad de Chile, 2010 | | 2010 |
| Insatiable cities: Management of these greedy energy sinks V Weinberger, J Burger, C Quiñinao, P Marquet BOOK OF ABSTRACTS, 45, 0 | | |
| Excitation and inhibition balance as a dynamical process: further studies in some Mean Field FitzHugh-Nagumo models of interconnected neurons C Quininao 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Jonathan TouboulBrandeis UniversityVerified email at brandeis.edu
