{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:23:27Z","timestamp":1787239407240,"version":"build-2736575974"},"reference-count":33,"publisher":"Society for Industrial & Applied Mathematics (SIAM)","issue":"3","funder":[{"DOI":"10.13039\/100000121","name":"Division of Mathematical Sciences","doi-asserted-by":"publisher","award":["DMS-1608077"],"award-info":[{"award-number":["DMS-1608077"]}],"id":[{"id":"10.13039\/100000121","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005740","name":"Universidad Nacional del Sur","doi-asserted-by":"publisher","award":["PGI 24\/L113-2019"],"award-info":[{"award-number":["PGI 24\/L113-2019"]}],"id":[{"id":"10.13039\/501100005740","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIAM J. Appl. Dyn. Syst."],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Threshold-linear networks (TLNs) are recurrent networks where the dynamics are threshold-linear (linearly rectified at zero). Mathematically, they consist of coupled nonsmooth ordinary differential equations. When the nodes in the network are assumed to be neurons or neuronal populations, TLNs represent firing rate models. We investigate the dynamics of a subclass of TLNs referred to as competitive TLNs where all the connections between different nodes are inhibitory. We prove the existence of periodic solutions in competitive TLNs with three nodes using a combination of mathematical analysis and numerical simulations. We calculate the analytical expressions of the periodic solutions, then we consider a reduced system of transcendental equations and apply a Kantorovich's convergence result to demonstrate the existence of these solutions. We then analyze the attributes (frequency and amplitude) of these periodic solutions as the model parameters vary. Finally, we study the entrainment properties of competitive TLNs in the oscillatory regime, by examining their response to external periodic inputs to one of the nodes in the network. We numerically determine the ranges of input amplitudes and frequencies for which competitive TLNs are able to follow the periodic input for three-node networks and larger networks with cyclic symmetry.<\/jats:p>","DOI":"10.1137\/20m1337831","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T13:54:01Z","timestamp":1625147641000},"page":"1177-1208","source":"Crossref","is-referenced-by-count":12,"title":["Periodic Solutions in Threshold-Linear Networks and Their Entrainment"],"prefix":"10.1137","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4228-223X","authenticated-orcid":true,"given":"Andrea","family":"Bel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Romina","family":"Cobiaga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walter","family":"Reartes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Horacio G.","family":"Rotstein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2021,7,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1076-17.2017"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127419501372"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2017.09.019"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127417300440"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.60.2086"},{"key":"atypb6","volume":"60","author":"Coombes S.","year":"2086","journal-title":"Rev. E"},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2011.05.012"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1007\/s11538-011-9678-9"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00504"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01151"},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00869"},{"key":"atypb12","unstructured":"P. Dayan and L. F. Abbott,\n                      Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems\n                      , MIT Press, Cambridge, MA, 2001."},{"key":"atypb13","unstructured":"M. di Bernardo, C. J. Budd, A. R. Champneys, and P. Kowalczyk,\n                      Piecewise-Smooth Dynamical Systems. Theory and Applications\n                      , Springer-Verlag, New York, 2008."},{"key":"atypb14","doi-asserted-by":"crossref","unstructured":"G. B. Ermentrout and D. H. Terman,\n                      Mathematical Foundations of Neuroscience\n                      , Interdiscip. Appl. Math. 35, Springer, New York, 2010.","DOI":"10.1007\/978-0-387-87708-2"},{"key":"atypb15","doi-asserted-by":"crossref","unstructured":"J. Guckenheimer and P. Holmes,\n                      Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields\n                      , Appl. Math. Sci. 42, Springer, New York, 1983.","DOI":"10.1007\/978-1-4612-1140-2"},{"key":"atypb16","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321192103"},{"key":"atypb17","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00012-4"},{"key":"atypb18","unstructured":"J. Hale,\n                      Ordinary Differential Equations\n                      , Wiley-Interscience, New York, 1969."},{"key":"atypb19","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5446-11.2012"},{"key":"atypb20","doi-asserted-by":"publisher","DOI":"10.1137\/0141042"},{"key":"atypb21","doi-asserted-by":"publisher","DOI":"10.1137\/0151070"},{"key":"atypb22","doi-asserted-by":"publisher","DOI":"10.1016\/S0960-9822(01)00581-4"},{"key":"atypb23","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.1996.76.3.687"},{"key":"atypb24","doi-asserted-by":"publisher","DOI":"10.1186\/s13408-016-0038-9"},{"key":"atypb25","first-page":"241","author":"Morrison K.","year":"2019","journal-title":"New York"},{"key":"atypb26","unstructured":"K. Morrison, A. Degeratu, V. Itskov, and C. Curto,\n                      Diversity of Emergent Dynamics in Competitive Threshold-Linear Networks: A Preliminary Report\n                      , arXiv,https:\/\/arxiv.org\/pdf\/1605.04463v1.pdf, 2012."},{"key":"atypb27","doi-asserted-by":"publisher","DOI":"10.1007\/s10958-006-0066-1"},{"key":"atypb28","doi-asserted-by":"publisher","DOI":"10.1007\/s00285-010-0348-6"},{"key":"atypb29","doi-asserted-by":"publisher","DOI":"10.3389\/fncir.2019.00081"},{"key":"atypb30","doi-asserted-by":"publisher","DOI":"10.1137\/100809866"},{"key":"atypb31","doi-asserted-by":"crossref","unstructured":"D. J. W. Simpson,\n                      Bifurcations in Piecewise-Smooth Continuous Systems\n                      , World Scientific, Englewood Cliffs, NJ, 2010.","DOI":"10.1142\/7612"},{"key":"atypb32","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8760(00)00173-2"},{"key":"atypb33","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(72)86068-5"}],"container-title":["SIAM Journal on Applied Dynamical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/epubs.siam.org\/doi\/pdf\/10.1137\/20M1337831","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:23:20Z","timestamp":1787235800000},"score":1,"resource":{"primary":{"URL":"https:\/\/epubs.siam.org\/doi\/10.1137\/20M1337831"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":33,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1137\/20M1337831"],"URL":"https:\/\/doi.org\/10.1137\/20m1337831","relation":{},"ISSN":["1536-0040"],"issn-type":[{"value":"1536-0040","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}