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Prediction on Spike Data Using Kernel Algorithms

2004

Conference Paper

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We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the activity of a population of simultaneously recorded neurons. We compare several ways of improving the coding of the input (i.e., the spike data) as well as of the output (i.e., the orientation), and report the results obtained using different kernel algorithms.

Author(s): Eichhorn, J. and Tolias, AS. and Zien, A. and Kuss, M. and Rasmussen, CE. and Weston, J. and Logothetis, NK. and Schölkopf, B.
Book Title: Advances in Neural Information Processing Systems 16
Journal: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
Pages: 1367-1374
Year: 2004
Month: June
Day: 0
Editors: S Thrun and LK Saul and B Sch{\"o}lkopf
Publisher: MIT Press

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Name: 17th Annual Conference on Neural Information Processing Systems (NIPS 2003)
Event Place: Vancouver, BC, Canada

Address: Cambridge, MA, USA
Digital: 0
ISBN: 0-262-20152-6
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF
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BibTex

@inproceedings{2483,
  title = {Prediction on Spike Data Using Kernel Algorithms},
  author = {Eichhorn, J. and Tolias, AS. and Zien, A. and Kuss, M. and Rasmussen, CE. and Weston, J. and Logothetis, NK. and Sch{\"o}lkopf, B.},
  journal = {Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference},
  booktitle = {Advances in Neural Information Processing Systems 16},
  pages = {1367-1374},
  editors = {S Thrun and LK Saul and B Sch{\"o}lkopf},
  publisher = {MIT Press},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Cambridge, MA, USA},
  month = jun,
  year = {2004},
  month_numeric = {6}
}