Topographic factor analysis: a Bayesian model for inferring brain networks from neural data.
Saved in:
| Title: | Topographic factor analysis: a Bayesian model for inferring brain networks from neural data. |
|---|---|
| Authors: | Manning JR; Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America; Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America., Ranganath R; Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America., Norman KA; Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America; Department of Psychology, Princeton University, Princeton, New Jersey, United States of America., Blei DM; Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America. |
| Source: | PloS one [PLoS One] 2014 May 07; Vol. 9 (5), pp. e94914. Date of Electronic Publication: 2014 May 07 (Print Publication: 2014). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0094914 |
