The development and analysis of integrated neuroscience data

Joshua I. Glaser*, Konrad P. Kording

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

There is a strong emphasis on developing novel neuroscience technologies, in particular on recording from more neurons. There has thus been increasing discussion about how to analyze the resulting big datasets. What has received less attention is that over the last 30 years, papers in neuroscience have progressively integrated more approaches, such as electrophysiology, anatomy, and genetics. As such, there has been little discussion on how to combine and analyze this multimodal data. Here, we describe the growth of multimodal approaches, and discuss the needed analysis advancements to make sense of this data.

Original languageEnglish (US)
Article number11
JournalFrontiers in Computational Neuroscience
Volume10
Issue numberFEB
DOIs
StatePublished - Feb 11 2016

Keywords

  • Data integration
  • Large-scale data analysis
  • Multimodal
  • Neural data analysis
  • Technology integration

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Cellular and Molecular Neuroscience

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