A variational Bayes spatiotemporal model for electromagnetic brain mapping

By Farouk S. Nathoo, Arif Babul, Alexander Moiseev, N. Virji-Babul, Mirza Faisal Beg. 2014

22 citations recorded by the source corpus.

Subfields: Applied Mathematics, Artificial Intelligence, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Chong You
2. Samuel Müller
3. David M. Blei
4. John Thomas Ormerod
5. Alp Kucukelbir
6. Jon D. McAuliffe

In Artificial Intelligence

1. David M. Blei
2. Alp Kucukelbir
3. Jon D. McAuliffe
4. Chong You
5. Samuel Müller
6. Stephan Mandt
7. John Thomas Ormerod
8. Rajesh Ranganath

In Cognitive Neuroscience

1. David M. Blei
2. Alp Kucukelbir
3. Jon D. McAuliffe

Citations in the corpus

• Variational Inference: A Review for Statisticians (2016, background): “…(Wool-rich et al. 2004), spatial models (Sato et al. 2004; Zumer et al. 2007; Kiebel et al. 2008; Wipf and Nagarajan 2009; Lashkari et al. 2012; Nathoo et al. 2014), brain-computer interfaces (Sykacek, Roberts, and Stokes 2004), and factor models (Manning et al. 2014; Gershman et al. 2014).”
• A variational Bayes approach to variable selection (2017, background): “Nevertheless, VB has shown to be an effective approach to several practical problems including document retrieval [35], functional magnetic resonance imaging [23, 50], and cluster analysis for gene-expression data [63].”