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Detecting neural assemblies in calcium imaging data.

Jan MölterLilach AvitanGeoffrey J Goodhill
Published in: BMC biology (2018)
Our findings suggest that the neural assemblies recovered from calcium imaging data can vary considerably with the choice of algorithm, but that some algorithms reliably perform better than others. This suggests that previous results using these algorithms may need to be reevaluated in this light.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • big data
  • electronic health record
  • artificial intelligence
  • mass spectrometry
  • fluorescence imaging
  • decision making