Zobrazeno 1 - 10
of 56
pro vyhledávání: '"MESH: Nonlinear Dynamics"'
Autor:
Xavier Pivot, Bruno Chauffert, Jean-Pierre Kantelip, Emmanuel Guardiola, Vincent Jullien, Bruno Heyd, Bernard Royer
Publikováno v:
Clinical Pharmacokinetics
Clinical Pharmacokinetics, 2009, 48 (3), pp.169-80. ⟨10.2165/00003088-200948030-00003⟩
Clinical Pharmacokinetics, Springer Verlag, 2009, 48 (3), pp.169-80. ⟨10.2165/00003088-200948030-00003⟩
Clinical Pharmacokinetics, Springer Verlag, 2009, 48 (3), pp.169-80. 〈10.2165/00003088-200948030-00003〉
Clinical Pharmacokinetics, 2009, 48 (3), pp.169-80. ⟨10.2165/00003088-200948030-00003⟩
Clinical Pharmacokinetics, Springer Verlag, 2009, 48 (3), pp.169-80. ⟨10.2165/00003088-200948030-00003⟩
Clinical Pharmacokinetics, Springer Verlag, 2009, 48 (3), pp.169-80. 〈10.2165/00003088-200948030-00003〉
International audience; BACKGROUND: Ovarian cancer is the leading cause of gynaecological cancer-related death in Western countries. Intraperitoneal (IP) peroperative chemotherapy is an interesting therapeutic option. However, very few data are avail
Publikováno v:
Neural Computation
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17(3), pp.633-670. 〈10.1162/0899766053019917〉
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17 (3), pp.633-70. 〈10.1162/0899766053019917〉
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17(3), pp.633-670. ⟨10.1162/0899766053019917⟩
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17 (3), pp.633-70. ⟨10.1162/0899766053019917⟩
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17(3), pp.633-670. 〈10.1162/0899766053019917〉
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17 (3), pp.633-70. 〈10.1162/0899766053019917〉
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17(3), pp.633-670. ⟨10.1162/0899766053019917⟩
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2005, 17 (3), pp.633-70. ⟨10.1162/0899766053019917⟩
Recent experimental results have shown that GABAergic interneurons in the central nervous system are frequently connected via electrical synapses. Hence, depending on the area or the subpopulation, interneurons interact via inhibitory synapses or ele
Publikováno v:
Journal of Neuroscience
Journal of Neuroscience, Society for Neuroscience, 2016, 36 (14), pp.3925-3942. ⟨10.1523/JNEUROSCI.4492-15.2016⟩
Journal of Neuroscience, Society for Neuroscience, 2016, 36 (14), pp.3925-3942. ⟨10.1523/JNEUROSCI.4492-15.2016⟩
The computational role of primary visual cortex (V1) in low-level perception remains largely debated. A dominant view assumes the prevalence of higher cortical areas and top-down processes in binding information across the visual field. Here, we inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6b131266525d0b6e70d654a75f4418
https://hal.archives-ouvertes.fr/hal-02062015
https://hal.archives-ouvertes.fr/hal-02062015
Publikováno v:
Journal of Neuroscience
Journal of Neuroscience, Society for Neuroscience, 2012, 32 (12), pp.4297-306. ⟨10.1523/JNEUROSCI.6434-11.2012⟩
Journal of Neuroscience, Society for Neuroscience, 2012, 32 (12), pp.4297-306. ⟨10.1523/JNEUROSCI.6434-11.2012⟩
International audience; Integration of phonological and lexicosemantic processes is essential for visual word recognition. Here we used dynamic causal modeling of event-related potentials, combined with group source reconstruction, to estimate how th
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, 2010, 98 (1), pp.55-65. ⟨10.1016/j.cmpb.2009.09.012⟩
Computer Methods and Programs in Biomedicine, 2010, 98 (1), pp.55-65. ⟨10.1016/j.cmpb.2009.09.012⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2010, 98 (1), pp.55-65. ⟨10.1016/j.cmpb.2009.09.012⟩
Computer Methods and Programs in Biomedicine, 2010, 98 (1), pp.55-65. ⟨10.1016/j.cmpb.2009.09.012⟩
International audience; Nonlinear mixed effect models (NLMEM) with multiple responses are increasingly used in pharmacometrics, one of the main examples being the joint analysis of the pharmacokinetics (PK) and pharmacodynamics (PD) of a drug. Effici
Autor:
Jean Durup, Birgitta Dresp-Langley
Publikováno v:
Neural Plasticity, Vol 2009 (2009)
Neural plasticity
Neural plasticity, Hindawi Publishing Corporation, 2009, 2009, pp.482696. ⟨10.1155/2009/482696⟩
Neural plasticity, Hindawi Publishing Corporation, 2009, 2009, pp.1-15. ⟨10.1155/2009/482696⟩
Neural Plasticity
Neural plasticity, 2009, 2009, pp.1-15. ⟨10.1155/2009/482696⟩
Neural plasticity, 2009, ⟨10.1155/2009/482696⟩
Neural plasticity
Neural plasticity, Hindawi Publishing Corporation, 2009, 2009, pp.482696. ⟨10.1155/2009/482696⟩
Neural plasticity, Hindawi Publishing Corporation, 2009, 2009, pp.1-15. ⟨10.1155/2009/482696⟩
Neural Plasticity
Neural plasticity, 2009, 2009, pp.1-15. ⟨10.1155/2009/482696⟩
Neural plasticity, 2009, ⟨10.1155/2009/482696⟩
39 pages, 4 figures; International audience; While questions of a functional localization of consciousness in the brain have been the subject of myriad studies, the idea of a temporal access code as a specific brain mechanism for consciousness has re
Autor:
Patrick Chauvel, Jean Régis, Maxime Guye, Fabrice Wendling, Luc Valton, Gaelle Bettus, Fabrice Bartolomei
Publikováno v:
Epilepsy Research
Epilepsy Research, 2008, 81 (1), pp.58-68. ⟨10.1016/j.eplepsyres.2008.04.020⟩
Epilepsy Research, Elsevier, 2008, 81 (1), pp.58-68. ⟨10.1016/j.eplepsyres.2008.04.020⟩
Epilepsy Research, 2008, 81 (1), pp.58-68. ⟨10.1016/j.eplepsyres.2008.04.020⟩
Epilepsy Research, Elsevier, 2008, 81 (1), pp.58-68. ⟨10.1016/j.eplepsyres.2008.04.020⟩
International audience; PURPOSE: To analyze and compare spectral properties and interdependencies of intracerebral EEG signals recorded during interictal periods from mesial temporal lobe structures in two groups of epileptic patients defined accordi
Publikováno v:
NeuroImage
NeuroImage, Elsevier, 2005, 25 (3), pp.756-70. ⟨10.1016/j.neuroimage.2004.12.030⟩
NeuroImage, Elsevier, 2005, 25 (3), pp.756-70. ⟨10.1016/j.neuroimage.2004.12.030⟩
International audience; The aim of this work was to investigate the mechanisms that shape evoked electroencephalographic (EEG) and magneto-encephalographic (MEG) responses. We used a neuronally plausible model to characterise the dependency of respon
Autor:
Redouane Fodil, Emmanuelle Planus, Valérie Laurent, Daniel Isabey, Philippe Tracqui, Jacques Ohayon, Sophie Féréol
Publikováno v:
Journal of Biomechanical Engineering
Journal of Biomechanical Engineering, American Society of Mechanical Engineers, 2004, 126 (6), pp.685-98
Journal of Biomechanical Engineering, American Society of Mechanical Engineers, 2004, 126 (6), pp.685-98
International audience; An original homogenization method was used to analyze the nonlinear elastic properties of epithelial cells probed by magnetic twisting cytometry. In this approach, the apparent rigidity of a cell with nonlinear mechanical prop
Autor:
Xavière Panhard, Adeline Samson
Publikováno v:
Biostatistics
Biostatistics, 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. 〈10.1093/biostatistics/kxn020〉
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
Biostatistics, 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. 〈10.1093/biostatistics/kxn020〉
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
International audience; This article focuses on parameter estimation of multilevel nonlinear mixed-effects models (MNLMEMs). These models are used to analyze data presenting multiple hierarchical levels of grouping (cluster data, clinical trials with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9be0c749038a51c084b80c9d54f716
https://doi.org/10.1093/biostatistics/kxn020
https://doi.org/10.1093/biostatistics/kxn020