Statistical Analysis of Neuronal Data (SAND8)
31 - June 2, 2017
University of Pittsburgh
- We expect travel support will be available.
- Several sessions will be devoted to presentations by young investigators.
- All participants are encouraged to present posters.
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 (EEG, fMRI, MEG, and extracellular recordings). This
workshop series aims to |
- define important
problems in neuronal data analysis and useful strategies for attacking
- evaluate analytical methods by their ability to yield insightful results in
- 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.
|Genevera Allen (Rice)||Marlene Behrmann (CMU) ||Emery Brown (MIT/Harvard)|
|Elizabeth Buffalo (U. Washington) ||Anne Churchland (Cold Springs Harbor)
||Peter Dayan (Gatsby)|
|Alain Destexhe (CNRS, France)||Adrienne Fairhall (U. Washington)||Sonja Gruen (Julich Institute, Germany)|
|Alon Korngreen (Bar-Ilan, Israel)||Mark Kramer (Boston U.)||Andrew Leifer (Princeton)|
|Brian Litt (Penn) ||Katherine Nagal (NYU)||Jonathan Pillow (Princeton)|
|Sridevi Sarma (Johns Hopkins)||Aarti Singh (CMU)||Andreas Tolias (Baylor)|
|Timothy Verstynen (CMU)|