Fourth International Workshop
Statistical Analysis of Neuronal Data (SAND4)

May 29-31, 2008
Pittsburgh, PA

Registration is closed

Submission is closed

  • Travel support will be available.
  • Several sessions will be devoted to presentations by young investigators.
  • All participants are encouraged to present posters.
  • We expect selected papers to be published in a special issue of the Journal of Computational Neuroscience.
Additional Information:
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 (EEG, fMRI, MEG, 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.

Invited speakers:

  • Dubois Bowman (Emory), fMRI imaging
  • Ann Graybiel (MIT), multielectrode recording and behavior
  • Matti Hamalainen (Mass. General Hospital), MEG imaging
  • David Kleinfeld (UCSD), 2-photon imaging
  • Sheila Nirenberg (Cornell) multielectrode recording
  • Liam Paninski (Columbia), multielectrode recording
  • Barry Richmond (NIH), Closing comments: Outlook for the future
  • Charles Schroeder (Columbia) multielectrode recording and imaging
  • Valerie Ventura (CMU), spike sorting

Sponsored by:

NIMH (Computational Neuroscience); NSF (Statistics; Computational Neuroscience); Center for the Neural Basis of Cognition, Carnegie Mellon and University of Pittsburgh; Department of Statistics, Carnegie Mellon; Machine Learning Department, Carnegie Mellon; Department of Statistics, University of Pittsburgh.

Organized by: