This group discusses methods for generating and analyzing brain connectivity data (the "connectome") and how to simulate development and dynamics on anatomicially realistic neural networks. It can also be used to announce jobs, events, and CFP's.
Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index. Peraza, L.R., Asghar, A.U.R., Green, G., Halliday, D.M. (2012), Journal of Neuroscience Methods.
Luis R. Peraza, David M. Halliday (2010) A fast dynamic Bayesian network algorithm for structure learning using a time-lagged partial correlation matrix. In International Conference on Signals and Electronic Systems, ICSES 2010.
Luis R. Peraza, David M. Halliday (2010) Fourier Bayesian Information Criterion for Network Structure and Causality Estimation. In International Conference on Signals and Electronic Systems, ICSES 2010.
Luis R Peraza, Frantz Bouchereau (2008) Warped AR Modeling And Spectral Estimation For EEG Signals, 1-6. In Biosignal 2008, Brno Czech Republic.
Luis R. Peraza (2002) Artifact Elimination from EEG Signals Using Parametric Modeling and Independent Component Analysis, 353-354. In Congreso de Investigacion y Extension, Tecnologico de Monterrey.
You need to be a member of The NeuroNetwork to add comments!