Prediction on Spike Data Using Kernel Algorithms

Eichhorn, J; Tolias, AS; Zien, A; Kuss, M; Rasmussen, CE; Weston, J; Logothetis, NK; Schölkopf, B; Thrun,; S.,; Saul, L.K.; Schölkopf, B.

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Prediction on Spike Data Using Kernel Algorithms

Eichhorn, J., Tolias, A., Zien, A., Kuss, M., Rasmussen, C., Weston, J., et al. (2004). Prediction on Spike Data Using Kernel Algorithms. Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, 1367-1374.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D8F7-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D8F8-5

Genre: Conference Paper

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Creators:
Eichhorn, J^{1, 2}, Author
Tolias, AS³, Author
Zien, A¹, Author
Kuss, M¹, Author
Rasmussen, CE¹, Author
Weston, J¹, Author
Logothetis, NK³, Author
Schölkopf, B¹, Author
Thrun, Editor
S., Editor
Saul, L.K., Editor
Schölkopf, B., Editor

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805
3Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798

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Abstract: 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.

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Dates: Date issued: 2004-06

Publication Status: Issued

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Identifiers: ISBN: 0-262-20152-6
URI: http://books.nips.cc/nips16.html
BibTex Citekey: 2483

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Title: Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)

Place of Event: Vancouver, BC, Canada

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Title: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference

Source Genre: Journal

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Publ. Info: Cambridge, MA, USA : MIT Press

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1367 - 1374 Identifier: -