Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state

Roberto C. Sotero, Amir Shmuel. Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state. Journal of Computational Neuroscience, 32(3):563-576, 2012. [doi]

@article{SoteroS12,
  title = {Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state},
  author = {Roberto C. Sotero and Amir Shmuel},
  year = {2012},
  doi = {10.1007/s10827-011-0370-8},
  url = {http://dx.doi.org/10.1007/s10827-011-0370-8},
  researchr = {https://researchr.org/publication/SoteroS12},
  cites = {0},
  citedby = {0},
  journal = {Journal of Computational Neuroscience},
  volume = {32},
  number = {3},
  pages = {563-576},
}