Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski. Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Computation, 29(10):2581-2632, 2017. [doi]

@article{LinDKBS17,
  title = {Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings},
  author = {Tiger W. Lin and Anup Das and Giri P. Krishnan and Maxim Bazhenov and Terrence J. Sejnowski},
  year = {2017},
  doi = {10.1162/neco_a_01008},
  url = {https://doi.org/10.1162/neco_a_01008},
  researchr = {https://researchr.org/publication/LinDKBS17},
  cites = {0},
  citedby = {0},
  journal = {Neural Computation},
  volume = {29},
  number = {10},
  pages = {2581-2632},
}