---
res:
  bibo_abstract:
  - Interpretation of extracellular recordings can be challenging due to the long
    range of electric field. This challenge can be mitigated by estimating the current
    source density (CSD). Here we introduce kCSD-python, an open Python package implementing
    Kernel Current Source Density (kCSD) method and related tools to facilitate CSD
    analysis of experimental data and the interpretation of results. We show how to
    counter the limitations imposed by noise and assumptions in the method itself.
    kCSD-python allows CSD estimation for an arbitrary distribution of electrodes
    in 1D, 2D, and 3D, assuming distributions of sources in tissue, a slice, or in
    a single cell, and includes a range of diagnostic aids. We demonstrate its features
    in a Jupyter Notebook tutorial which illustrates a typical analytical workflow
    and main functionalities useful in validating analysis results.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Chaitanya
      foaf_name: Chintaluri, Chaitanya
      foaf_surname: Chintaluri
      foaf_workInfoHomepage: http://www.librecat.org/personId=E4EDB536-3485-11EA-98D2-20AF3DDC885E
  - foaf_Person:
      foaf_givenName: Marta
      foaf_name: Bejtka, Marta
      foaf_surname: Bejtka
  - foaf_Person:
      foaf_givenName: Wladyslaw
      foaf_name: Sredniawa, Wladyslaw
      foaf_surname: Sredniawa
  - foaf_Person:
      foaf_givenName: Michal
      foaf_name: Czerwinski, Michal
      foaf_surname: Czerwinski
  - foaf_Person:
      foaf_givenName: Jakub M.
      foaf_name: Dzik, Jakub M.
      foaf_surname: Dzik
  - foaf_Person:
      foaf_givenName: Joanna
      foaf_name: Jedrzejewska-Szmek, Joanna
      foaf_surname: Jedrzejewska-Szmek
  - foaf_Person:
      foaf_givenName: Daniel K.
      foaf_name: Wojciki, Daniel K.
      foaf_surname: Wojciki
  bibo_doi: 10.1371/journal.pcbi.1011941
  bibo_issue: '3'
  bibo_volume: 20
  dct_date: 2024^xs_gYear
  dct_identifier:
  - UT:001190689800001
  dct_isPartOf:
  - http://id.crossref.org/issn/1553-734X
  - http://id.crossref.org/issn/1553-7358
  dct_language: eng
  dct_publisher: Public Library of Science@
  dct_title: kCSD-python, reliable current source density estimation with quality
    control@
  fabio_hasPubmedId: '38484020'
...