The order of complexity of visuomotor learning-Reference-Cited by-同舟云学术

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The order of complexity of visuomotor learning

Published:2017-06-12 Issue:1 Volume:18 Page:
ISSN:1471-2202
Container-title:BMC Neuroscience
language:en
Short-container-title:BMC Neurosci

Author:

Kim John,Mostafa Fariya,Tweed Douglas Blair^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Cellular and Molecular Neuroscience,General Neuroscience

Link

http://link.springer.com/content/pdf/10.1186/s12868-017-0368-x.pdf

Reference30 articles.

1. Werfel J, Xie X, Seung HS. Learning curves for stochastic gradient descent in linear feedforward networks. Neural Comput. 2005;17:2699–718.

2. Press WH, et al. Numerical recipes in C. 2nd ed. Cambridge: Cambridge University Press; 1992.

3. Williams RJ. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Mach Learn. 1992;8:229–56.

4. Douglas SC, Pan W. Exact expectation analysis of the LMS adaptive filter. IEEE Trans Signal Process. 1995;43(12):2863–71.

5. Gardner WA. Learning characteristics of stochastic-gradient-descent algorithms: a general study, analysis, and critique. Sig Process. 1984;6(2):113–33.

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