English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

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

MPS-Authors
/persons/resource/persons83792

Balduzzi,  David
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

/persons/resource/persons75278

Besserve,  Michel
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Balduzzi, D., & Besserve, M. (2013). Towards a learning-theoretic analysis of spike-timing dependent plasticity. In F. Pereira, C. J. Burges, L. Bottou, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 25 (pp. 2456-2464). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2012/hash/f47330643ae134ca204bf6b2481fec47-Abstract.html.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-FE63-E
Abstract
There is no abstract available