Computational tools will be important to both the high-throughput acquisition of these large-scale datasets and in the analysis. Acquiring, analyzing and integrating these sources of data raises major challenges and opportunities for computational neuroscience and machine learning:
- What kind of data will be generated by large-scale functional measurements in the next decade? How will it be quantitatively or qualitatively different to the kind of data we have had previously?
- Algorithmic methods have played an important role in data acquisition, e.g. spike-sorting algorithms or spike-inference algorithms from calcium traces. In the future, what role will computational tools play in the process of high-throughput data acquistion?
- One of the key-challenges is to link anatomical with functional data -- what computational analysis tools will help in providing a link between these two disparate source of data? What can we learn by measuring ‘functional connectivity’?
- What have we really learned from high-dimensional recordings that is new? What will we learn? What theories could we test, if only we had access to recordings from more neurons at the same time?
We have invited scientists whose research addresses these questions including prominent technologists, experimental neuroscientists, theorists and computational neuroscientists. We foresee active discussions amongst this multi-disciplinary group of scientists to catalyze exciting new research and collaborations.
- Terry Sejnowski, Salk Institute (Keynote)
- Misha Ahrens, HHMI Janelia Farm Research Campus
- Mitya Chklovskii, HHMI Janelia Farm Research Campus
- David Greenberg, MPI Tübingen and CAESAR Bonn
- Konrad Koerding, Northwestern University
- Jonathan Pillow, University of Texas at Austin
- Jorg Scholvin, MIT
- Krishna Shenoy, Stanford University
- Andreas Tolias, Baylor College of Medicine
- Joshua Vogelstein, Duke University
Workshop schedule available here.
We invite abstract submissions for poster presentation at the workshop. Please submit abstracts (1 page max in pdf format) by email to neuralensembles(AT)gmail.com.
Abstract submission deadline (for poster presentations): October 9th, 2013
Acceptance for poster presentation will be announced by October 23th, 2013
Registration: Please visit the NIPS 2013 website for more information.
The workshop is being held under the auspices of NIPS2013 and will be supported by the Bernstein Center Tübingen.
Srini Turaga (Gatsby Unit & WIBR, University College London) --- primary contact
Lars Büsing (Gatsby Unit, University College London)
Maneesh Sahani (Gatsby Unit, University College London)
Jakob Macke (Max Planck Institute for Biological Cybernetics and Bernstein Center for Computational Neuroscience, Tübingen, Germany)