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Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules
Author(s) -
Alireza Alemi,
Christian K. Machens,
Sophie Denève,
Jean-Jacques Slotine
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11320
Subject(s) - robustness (evolution) , computer science , models of neural computation , artificial neural network , learning rule , nonlinear system , spike (software development) , spiking neural network , computation , locality , biological neural network , biological network , artificial intelligence , machine learning , mathematics , algorithm , biochemistry , chemistry , physics , linguistics , philosophy , software engineering , quantum mechanics , combinatorics , gene

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