Ninth International Workshop
Statistical Analysis of Neuronal Data (SAND9)

May 21 - 23, 2019
University of Pittsburgh
Pittsburgh, PA

Registration

Abstract
Submission

  • Travel support will be available.
  • Several sessions will be devoted to presentations by young investigators.
  • All participants are encouraged to present posters.
Additional Information

This site will be updated as information becomes available.

Studies of the neural basis of behavior typically use time-varying stimuli and produce time-varying neuronal responses. Statistically, the setting involves both continuous multiple time series and inhomogeneous point processes, sometimes dozens or hundreds of them observed simultaneously. There are many challenging analytical issues, including that of combining information obtained from multiple modalities (including EEG, fMRI, MEG, calcium imaging and extracellular recordings). This workshop series aims to
  • define important problems in neuronal data analysis and useful strategies for attacking them;
  • evaluate analytical methods by their ability to yield insightful results in interesting settings;
  • foster communication between experimental neuroscientists and those trained in statistical and computational methods;
  • encourage young researchers, including graduate students, to present their work;
  • expose young researchers to important challenges and opportunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues.

Keynote Speakers

Marlene Cohen (Pitt)Dan O'Connor (JHU) Nick Steinmetz (UW)
Xue Han (BU) Bijan Pesaran (NYU)
Dayu Lin (NYU)Spencer Smith (UCSB)

Technology Panelists

Tim Harris (Janelia Farm)Elizabeth Hillman (Columbia) Dion Kgodagholy (Columbia)
Jonathan Viventi (Duke)

Organized by:

SAND8/SAND7/SAND6/