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Journal Abstract Search
133 related items for PubMed ID: 20045071
1. The generation of rhythms within a cortical region: analysis of a neural mass model. Ursino M, Cona F, Zavaglia M. Neuroimage; 2010 Sep; 52(3):1080-94. PubMed ID: 20045071 [Abstract] [Full Text] [Related]
2. A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasks. Zavaglia M, Astolfi L, Babiloni F, Ursino M. J Neurosci Methods; 2006 Oct 30; 157(2):317-29. PubMed ID: 16757033 [Abstract] [Full Text] [Related]
3. The effect of connectivity on EEG rhythms, power spectral density and coherence among coupled neural populations: analysis with a neural mass model. Zavaglia M, Astolfi L, Babiloni F, Ursino M. IEEE Trans Biomed Eng; 2008 Jan 30; 55(1):69-77. PubMed ID: 18232348 [Abstract] [Full Text] [Related]
4. Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordings. Ursino M, Zavaglia M, Astolfi L, Babiloni F. Biol Cybern; 2007 Mar 30; 96(3):351-65. PubMed ID: 17115218 [Abstract] [Full Text] [Related]
5. A neural mass model to simulate different rhythms in a cortical region. Zavaglia M, Cona F, Ursino M. Comput Intell Neurosci; 2010 Mar 30; 2010():456140. PubMed ID: 20037742 [Abstract] [Full Text] [Related]
6. Realistically coupled neural mass models can generate EEG rhythms. Sotero RC, Trujillo-Barreto NJ, Iturria-Medina Y, Carbonell F, Jimenez JC. Neural Comput; 2007 Feb 30; 19(2):478-512. PubMed ID: 17206872 [Abstract] [Full Text] [Related]
7. Modeling analysis of the relationship between EEG rhythms and connectivity among different neural populations. Ursino M, Zavaglia M. J Integr Neurosci; 2007 Dec 30; 6(4):597-623. PubMed ID: 18181270 [Abstract] [Full Text] [Related]
8. A model of event-related EEG synchronization changes in beta and gamma frequency bands. Grabska-Barwińska A, Zygierewicz J. J Theor Biol; 2006 Feb 21; 238(4):901-13. PubMed ID: 16099472 [Abstract] [Full Text] [Related]
9. Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons. Liley DT, Alexander DM, Wright JJ, Aldous MD. Network; 1999 Feb 21; 10(1):79-92. PubMed ID: 10372763 [Abstract] [Full Text] [Related]
10. Orientation tuning properties of simple cells in area V1 derived from an approximate analysis of nonlinear neural field models. Wennekers T. Neural Comput; 2001 Aug 21; 13(8):1721-47. PubMed ID: 11506668 [Abstract] [Full Text] [Related]
12. A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG. Cona F, Zavaglia M, Massimini M, Rosanova M, Ursino M. Neuroimage; 2011 Aug 01; 57(3):1045-58. PubMed ID: 21600291 [Abstract] [Full Text] [Related]
14. Evaluation of different measures of functional connectivity using a neural mass model. David O, Cosmelli D, Friston KJ. Neuroimage; 2004 Feb 01; 21(2):659-73. PubMed ID: 14980568 [Abstract] [Full Text] [Related]
15. A large-scale simulation of the piriform cortex by a cell automaton-based network model. Claverol ET, Brown AD, Chad JE. IEEE Trans Biomed Eng; 2002 Sep 01; 49(9):921-35. PubMed ID: 12214882 [Abstract] [Full Text] [Related]
18. Dynamic causal modeling of evoked responses in EEG and MEG. David O, Kiebel SJ, Harrison LM, Mattout J, Kilner JM, Friston KJ. Neuroimage; 2006 May 01; 30(4):1255-72. PubMed ID: 16473023 [Abstract] [Full Text] [Related]
19. Modelling event-related responses in the brain. David O, Harrison L, Friston KJ. Neuroimage; 2005 Apr 15; 25(3):756-70. PubMed ID: 15808977 [Abstract] [Full Text] [Related]