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Jérémie Cabessa - Publications

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12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Cabessa J, Tchaptchet A. Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings. Neural Networks : the Official Journal of the International Neural Network Society. 126: 312-334. PMID 32278841 DOI: 10.1016/j.neunet.2020.03.019  0.512
2019 Cabessa J. Turing complete neural computation based on synaptic plasticity. Plos One. 14: e0223451. PMID 31618230 DOI: 10.1371/Journal.Pone.0223451  0.407
2019 Cabessa J, Finkel O. Computational capabilities of analog and evolving neural networks over infinite input streams Journal of Computer and System Sciences. 101: 86-99. DOI: 10.1016/j.jcss.2018.11.003  0.575
2018 Cabessa J, Villa AEP. Attractor dynamics of a Boolean model of a brain circuit controlled by multiple parameters. Chaos (Woodbury, N.Y.). 28: 106318. PMID 30384642 DOI: 10.1063/1.5042312  0.345
2016 Cabessa J, Villa AE. Expressive power of first-order recurrent neural networks determined by their attractor dynamics Journal of Computer and System Sciences. 82: 1232-1250. DOI: 10.1016/J.Jcss.2016.04.006  0.634
2014 Cabessa J, Siegelmann HT. The super-Turing computational power of plastic recurrent neural networks. International Journal of Neural Systems. 24: 1450029. PMID 25354762 DOI: 10.1142/S0129065714500294  0.538
2014 Cabessa J, Villa AE. An attractor-based complexity measurement for Boolean recurrent neural networks. Plos One. 9: e94204. PMID 24727866 DOI: 10.1371/Journal.Pone.0094204  0.616
2012 Cabessa J, Siegelmann HT. The computational power of interactive recurrent neural networks. Neural Computation. 24: 996-1019. PMID 22295978 DOI: 10.1162/Neco_A_00263  0.579
2012 Cabessa J, Villa AE. The expressive power of analog recurrent neural networks on infinite input streams Theoretical Computer Science. 436: 23-34. DOI: 10.1016/J.Tcs.2012.01.042  0.602
2011 Cabessa J, Siegelmann HT. Evolving recurrent neural networks are super-Turing Proceedings of the International Joint Conference On Neural Networks. 3200-3206. DOI: 10.1109/IJCNN.2011.6033645  0.575
2010 Cabessa J, Vill AE. A hierarchical classification of first-order recurrent neural networks. The Chinese Journal of Physiology. 53: 407-16. PMID 21793352  0.616
2010 Perrig S, Iglesias J, Shaposhnyk V, Chibirova O, Dutoit P, Cabessa J, Espa-Cervena K, Pelletier L, Berger F, Villa AE. Functional interactions in hierarchically organized neural networks studied with spatiotemporal firing patterns and phase-coupling frequencies. The Chinese Journal of Physiology. 53: 382-95. PMID 21793350 DOI: 10.4077/Cjp.2010.Amm039  0.574
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