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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Feng, C., & Plamondon, R. (2016, July). Periodic and partly periodic oscillation in Hopfield recurrent neural networks with time-varying input and delays [Paper]. International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, B.C.. External link
Feng, C., & Plamondon, R. (2016). Periodic oscillatory behavior on a four-node neural network model with distributed delay. International Journal of Machine Learning and Cybernetics, 7(2), 185-191. External link
Feng, C., & Plamondon, R. (2014, July). Oscillation Analysis of the Solutions for a Four Coupled FHN Network Model with Delays [Paper]. International Joint Conference on Neural Networks, Beijing, Chine (6 pages). External link
Feng, C., & Plamondon, R. (2012). An Oscillatory Criterion for a Time Delayed Neural Ring Network Model. Neural Networks, 29-30, 70-79. External link
Feng, C., Plamondon, R., & O'Reilly, C. (2011). Analyzing oscillations for an N-node recurrent neural networks model with time delays and general activation functions. IEEE Transactions on Circuits and Systems I: Regular Papers, 58(8), 1877-1887. External link
Feng, C., O'Reilly, C., & Plamondon, R. (2011). Permanent oscillations in a 3-node recurrent neural network model. Neurocomputing, 74(1-3), 274-283. External link
Feng, C., Plamondon, R., & O'Reilly, C. (2010). On Some Necessary and Sufficient Conditions for a Recurrent Neural Network Model With Time Delays to Generate Oscillations. IEEE Transactions on Neural Networks, 21(8), 1197-1205. External link
Feng, C., & Plamondon, R. (2007). Existence of oscillations in recurrent neural networks with time delay models. Dynamics of Continuous, Discrete & Impulsive Systems. Series A., 14(S1), 111-118. Unavailable
Feng, C. (2005). The effects of time delays on some models of biological networks [Ph.D. thesis, École Polytechnique de Montréal]. Restricted access
Feng, C., & Plamondon, R. (2003). Stability analysis of bidirectional associative memory networks with time delays. IEEE Transactions on Neural Networks, 14(6), 1560-1565. External link
Feng, C., Woch, A., & Plamondon, R. (2002, August). A comparative study of two velocity profile models for rapid stroke analysis [Paper]. 16th International Conference on Pattern Recognition, Québec, Québec. External link
Feng, C., & Plamondon, R. (2001). Terminal attractors in neural network models. Neural, Parallel & Scientific Computations, 9(1), 49-57. External link
Plamondon, R., Feng, C., & Djioua, M. (2008). The convergence of a neuromuscular impulse response towards a lognormal, from theory to practice. (Technical Report n° EPM-RT-2008-08). Available
Plamondon, R., Feng, C., & Woch, A. (2003). A kinematic theory of rapid human movement. Part IV. A formal mathematical proof and new insights. Biological Cybernetics, 89(2), 126-138. External link
Plamondon, R., Feng, C., & Woch, A. (2001). A kinematic theory of rapid human movements : part IV : a formal mathematical proof and new insights. (Technical Report n° EPM-RT-2001-05). Restricted access
