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*'''''Prior ML SIG topics:'''''
*'''''Prior ML SIG topics:'''''
**'''01/28/2022''' Lina Teichmann - Bayes Factors for Time-series Decoding
**'''01/28/2022''' Lina Teichmann - Bayes Factors for Time-series Decoding
***Slides: [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Teichmann -- Bayes Factors for Time-series Decoding (pdf)]
***[[File:Pdf.png|PDF]][https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Presentation Slides]


**'''12/03/2021''' Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]
**'''12/03/2021''' Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]

Revision as of 15:20, 28 January 2022

Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.

Interested in presenting a topic? Email Fred Carver at carverf@nih.gov or Jeff Stout at stoutjd@nih.gov if you would like to present.

Notifications of upcoming talks are sent to the MEG_ANNOUNCE listserv.

Upcoming Talks/Discussions

Recent Talks/Discussions

Previous Tutorials and Training

Special Interest Groups

Machine Learning Special Interest Group: ML SIG

  • Meeting monthly on the 4th Friday of every month 1-2pm.
    Contact Jeff Stout for more information if you are interested in joining.
  • Prior ML SIG topics:

References

  1. https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R.Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen
  2. https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay