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  Towards a learning-theoretic analysis of spike-timing dependent plasticity

Balduzzi, D., & Besserve, M. (2013). Towards a learning-theoretic analysis of spike-timing dependent plasticity. In P. Bartlett, F. Pereira, L. Bottou, C. Burges, & K. Weinberger (Eds.), Advances in Neural Information Processing Systems 25 (pp. 2465-2473). Red Hook, NY, USA: Curran.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B550-C Version Permalink: http://hdl.handle.net/21.11116/0000-0004-C390-C
Genre: Conference Paper

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 Creators:
Balduzzi, D1, 2, Author              
Besserve, M1, 2, 3, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

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 Abstract: This paper suggests a learning-theoretic perspective on how synaptic plasticitybenefits global brain functioning. We introduce a model, the selectron, that (i)arises as the fast time constant limit of leaky integrate-and-fire neurons equippedwithspikingtimingdependentplasticity(STDP)and(ii)isamenabletotheoreticalanalysis. We show that the selectron encodes reward estimates into spikes and thatan error bound on spikes is controlled by a spiking margin and the sum of synapticweights. Moreover, the efficacy of spikes (their usefulness to other reward maxi-mizing selectrons) also depends on total synaptic strength. Finally, based on ouranalysis, we propose a regularized version of STDP, and show the regularizationimproves the robustness of neuronal learning when faced with multiple stimuli.

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 Dates: 2013-04
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: BalduzziB2012
 Degree: -

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Title: Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012)
Place of Event: Lake Tahoe, Nevada, USA
Start-/End Date: 2012-12-03 - 2012-12-06

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Title: Advances in Neural Information Processing Systems 25
Source Genre: Proceedings
 Creator(s):
Bartlett, P, Editor
Pereira, FCN, Editor
Bottou, L, Editor
Burges, CJC, Editor
Weinberger, KQ, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2465 - 2473 Identifier: ISBN: 978-1-62748-003-1