On the Non-Learnability of a Single Spiking Neuron

0405292 - UIVT-O 330614 RIV US eng J - Journal Article
Šíma, Jiří - Sgall, Jiří
On the Non-Learnability of a Single Spiking Neuron.
[O nenaučitelnosti jednoho spiking neuronu.]
Neural Computation. Roč. 17, č. 12 (2005), s. 2635-2647. ISSN 0899-7667. E-ISSN 1530-888X
R&D Projects: GA ČR GA201/02/1456; GA AV ČR 1ET100300517; GA MŠMT LN00A056; GA MŠMT(CZ) 1M0545
Institutional research plan: CEZ:AV0Z10300504; CEZ:AV0Z10190503
Keywords : spiking neuron * consistency problem * NP-completness * PAC model * robust learning * representation problem
Subject RIV: BA - General Mathematics
Impact factor: 2.591, year: 2005

Cited: 14

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--- ROSTRO-GONZALEZ, H. - CESSAC, B. - VIEVILLE, T. Parameter estimation in spiking neural networks: a reverse-engineering approach. JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, APR 2012, vol. 9, no. 2. [WOS]
--- CESSAC, B. - PAUGAM-MOISY, H. - VIEVILLE, T. Overview of facts and issues about neural coding by spikes. JOURNAL OF PHYSIOLOGY-PARIS. ISSN 0928-4257, JAN-MAR 2010, vol. 104, no. 1-2, p. 5-18. [WOS]
--- ROSTRO-GONZALEZ, H. - GARREAU, G. - ANDREOU, A. - GEORGIOU, J. - BARRON-ZAMBRANO, J.H. - TORRES-HUITZIL, C. An FPGA-based approach for parameter estimation in spiking neural networks. 2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012). ISSN 0271-4302, 2012. [WOS]
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--- Cessac, B. - Salas, R. - Viéville, T. Using event-based metric for event-based neural network weight adjustment. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. Louvain-La-Neuve : I6doc.com, 18 pp, 2012.
--- MOURAUD, A. - PAUGAM-MOISY, H. - PUZENAT, D. A distributed and multithreaded neural event driven simulation framework. PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING AND NETWORKS. 2006, p. 212-+. [WOS]

Permanent Link: http://hdl.handle.net/11104/0125473