%0 Journal Article %1 wang2015full %A Wang, Yida %A Cohen, Jonathan D %A Li, Kai %A Turk-Browne, Nicholas B %D 2015 %I Elsevier %J Journal of neuroscience methods %K paper:fastcor fcma fmri brain connectivity functional relation data dataset citedby:scholar:count:24 citedby:scholar:timestamp:2021-1-7 %P 108--119 %T Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity %V 251

@article{wang2015full, added-at = {2021-01-07T18:59:16.000+0100}, author = {Wang, Yida and Cohen, Jonathan D and Li, Kai and Turk-Browne, Nicholas B}, biburl = {https://www.bibsonomy.org/bibtex/25d570a1f0f105965762c7461b000e6ed/becker}, interhash = {05bc18f9dfe9ab979f74ddac2159aefa}, intrahash = {5d570a1f0f105965762c7461b000e6ed}, journal = {Journal of neuroscience methods}, keywords = {paper:fastcor fcma fmri brain connectivity functional relation data dataset citedby:scholar:count:24 citedby:scholar:timestamp:2021-1-7}, pages = {108--119}, publisher = {Elsevier}, timestamp = {2021-01-07T18:59:16.000+0100}, title = {Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity}, volume = 251, year = 2015 }