Luis R. Peraza's Page

Latest Activity

Luis R. Peraza updated their profile
May 18, 2012
Luis R. Peraza joined Byron Galbraith's group
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Python in Computational Neuroscience

Python is a powerful scripting language that is gaining traction in the Computational Neuroscience and Neuroinformatics communities.
Apr 18, 2011
Luis R. Peraza joined Dr Marcus Kaiser's group
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Structure and Dynamics of Brain Connectivity Networks

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.
Apr 18, 2011
Luis R. Peraza updated their profile photo
Apr 18, 2011
Luis R. Peraza is now a member of The NeuroNetwork
Apr 18, 2011

Profile Information

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.

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