International audienceIn this letter, we propose a general framework for studying neural mass models defined by ordinary differential equations. By studying the bifurcations of the solutions to these equations and their sensitivity to noise, we establish an important relation, similar to a dictionary, between their behaviors and normal and pathological, especially epileptic, cortical patterns of activity. We then apply this framework to the analysis of two models that feature most phenomena of interest, the Jansen and Rit model, and the slightly more complex model recently proposed by Wendling and Chauvel. This model-based approach allows us to test various neurophysiological hypotheses on the origin of pathological cortical behaviors and i...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceMathematical models at multiple temporal and spatial scales can unveil the fun...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
We investigate how changes in network structure can lead to pathological oscillations similar to tho...
We investigate how changes in network structure can lead to pathological oscillations similar to tho...
L'épilepsie est l’un des désordres neurologiques les plus courants; environ 1% de la population mond...
Oscillations between various populations of neurons are common and well documented. However, there ...
This is the final version of the article. Available from BioMed Central/SpringerOpen via the DOI in ...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceMathematical models at multiple temporal and spatial scales can unveil the fun...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
International audienceIn this letter, we propose a general framework for studying neural mass models...
We investigate how changes in network structure can lead to pathological oscillations similar to tho...
We investigate how changes in network structure can lead to pathological oscillations similar to tho...
L'épilepsie est l’un des désordres neurologiques les plus courants; environ 1% de la population mond...
Oscillations between various populations of neurons are common and well documented. However, there ...
This is the final version of the article. Available from BioMed Central/SpringerOpen via the DOI in ...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceWe reviewed computer models that have been developed to reproduce and explain ...
International audienceMathematical models at multiple temporal and spatial scales can unveil the fun...