Main areas of research:

Computational Neuroscience and Statistical Signal Processing

Interests/keywords:

Brain connectivity,
Complex Networks,
Magnetoencephalography,
Beamforming Methods,
fMRI

Current title/position:

PhD in Electronics, Student

Current affiliation/employer:

University of York

Collaborators:

York Neuroimaging Centre, YNiC

PhD Advisor and University:

Dr. David Halliday, University of York

Personal or laboratory homepage:

http://sites.google.com/site/luisperaza/home/bayesian-networks

Publications:

Journals:

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.

Conferences:

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.