Current Source Density Reconstruction from Incomplete Data

@article{Wjcik2010CurrentSD,
  title={Current Source Density Reconstruction from Incomplete Data},
  author={D. W{\'o}jcik and S. Leski},
  journal={Neural Computation},
  year={2010},
  volume={22},
  pages={48-60}
}
  • D. Wójcik, S. Leski
  • Published 2010
  • Mathematics, Biology, Computer Science, Medicine
  • Neural Computation
  • We propose two ways of estimating current source density (CSD) from measurements of voltage on a Cartesian grid with missing recording points using the inverse CSD method. The simplest approach is to substitute local averages (LA) in place of missing data. A more elaborate alternative is to estimate a smaller number of CSD parameters than the actual number of recordings and to take the least-squares fit (LS). We compare the two approaches in the three-dimensional case on several sets of… CONTINUE READING
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