How advances in neural recording affect data analysis

Ian H. Stevenson, Konrad P. Kording

Research output: Contribution to journalArticlepeer-review

312 Scopus citations

Abstract

Over the last five decades, progress in neural recording techniques has allowed the number of simultaneously recorded neurons to double approximately every 7 years, mimicking Moore's law. Such exponential growth motivates us to ask how data analysis techniques are affected by progressively larger numbers of recorded neurons. Traditionally, neurons are analyzed independently on the basis of their tuning to stimuli or movement. Although tuning curve approaches are unaffected by growing numbers of simultaneously recorded neurons, newly developed techniques that analyze interactions between neurons become more accurate and more complex as the number of recorded neurons increases. Emerging data analysis techniques should consider both the computational costs and the potential for more accurate models associated with this exponential growth of the number of recorded neurons.

Original languageEnglish (US)
Pages (from-to)139-142
Number of pages4
JournalNature neuroscience
Volume14
Issue number2
DOIs
StatePublished - Feb 2011

ASJC Scopus subject areas

  • Neuroscience(all)

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