Community-based benchmarking improves spike rate inference from two-photon calcium imaging data

Document Details

Document Type
Pub Defense Publication
Publication Date
May 21, 2018
Source ID
10.1371/journal.pcbi.1006157

Entities

People

  • Andreas S Tolias
  • Artur Speiser
  • Ben Bolte
  • Dario Ringach
  • Emmanouil Froudarakis
  • Jacob Reimer
  • Jakob H. Macke
  • Jasmine Stone
  • Jeremy Freeman
  • Johannes Friedrich
  • Kenneth D. Harris
  • Liam Paninski
  • Lucas Theis
  • Luke E. Rogerson
  • Marius Pachiţariu
  • Matthias Bethge
  • Miroslav Román Rosón
  • Nicolas J. Sofroniew
  • Nikolay Chenkov
  • Patrick Mineault
  • Peter Rupprecht
  • Philipp Berens
  • Rainer W Friedrich
  • Srinivas C Turaga
  • Stephan Gerhard
  • Thomas Deneux
  • Thomas Euler
  • Thomas McColgan
  • Timothy A Machado

Organizations

  • Boehringer Ingelheim Fonds
  • Defense Advanced Research Projects Agency
  • Federal Ministry of Research, Technology and Space
  • German Research Foundation
  • Intelligence Advanced Research Projects Activity
  • National Institutes of Health
  • Novartis Foundation for Medical-Biological Research
  • Simmons Family Foundation
  • Swiss National Science Foundation
  • United States Army Research Laboratory
  • Wellcome Trust

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference