A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data

L. Zhang, Z. N. Fu, Shing-Chow Chan, H. C. Wu, Z. G. Zhang. A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data. In IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montréal, QC, Canada, May 22-25, 2016. pages 29-32, IEEE, 2016. [doi]

@inproceedings{ZhangFCWZ16,
  title = {A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data},
  author = {L. Zhang and Z. N. Fu and Shing-Chow Chan and H. C. Wu and Z. G. Zhang},
  year = {2016},
  doi = {10.1109/ISCAS.2016.7527162},
  url = {http://dx.doi.org/10.1109/ISCAS.2016.7527162},
  researchr = {https://researchr.org/publication/ZhangFCWZ16},
  cites = {0},
  citedby = {0},
  pages = {29-32},
  booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montréal, QC, Canada, May 22-25, 2016},
  publisher = {IEEE},
  isbn = {978-1-4799-5341-7},
}