Number of the records: 1
On the Non-Learnability of a Single Spiking Neuron
- 1.Šíma, Jiří - Sgall, Jiří
On the Non-Learnability of a Single Spiking Neuron.
Neural Computation. Roč. 17, č. 12 (2005), s. 2635-2647. ISSN 0899-7667. E-ISSN 1530-888X
Impact factor: 2.591, year: 2005
http://hdl.handle.net/11104/0125473
Cited: 14
--- PAUGAM-MOISY, H. - MARTINEZ, R. - BENGIO, S. Delay learning and polychronization for reservoir computing. NEUROCOMPUTING. ISSN 0925-2312, MAR 2008, vol. 71, no. 7-9, p. 1143-1158. [WOS]
--- Mouraud A. - Puzenat D. - Paugam-Moisy H.: DAMNED: A distributed and multithreaded neural event-driven simulation framework. Computing Research Repository, http:// arxiv.org/abs/cs.NE/0512018, 2005.
--- Chevallier S., Tarroux P., Paugam-Moisy H.: Saliency extraction with a distributed spiking neural network. Proceedings of the ESANN'2006 Fourteenth European Symposium on Artificial Neural Networks, Brussels: D-Facto Publications, 2006.
--- Paugam-Moisy H.: Spiking neuron networks: A survey. Technical Report IDIAP-RR 06-11, IDIAP Research Institute, Martigny, Switzerland, 2006.
--- Paugam-Moisy H. - Martinez R. - Bengio S.: A supervised learning approach based on STDP and polychronization in spiking neuron networks. Technical Report IDIAP-RR 06-54, IDIAP Research Institute, Martigny, Switzerland, 2006.
--- Rostro-Gonzalez R. - Cessac B. - Vasquez J.C. - Vieville T. Back-engineering in spiking neural networks parameters. Technical report arXiv:0905.4810v1 [nlin.AO], May 2009.
--- Cessac B. - Paugam-Moisy H. - Viéville T.: Indisputable facts when implementing spiking neuron networks. Technical report arXiv:0903.3498 [q-bio.NC], March 2009.
--- 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]
--- Paugam-Moisy H. - Bohte S. Computing with Spiking Neuron Networks. In: Rozenberg G., Bäck T., Kok J.N. (eds) Handbook of Natural Computing. Springer, Berlin 2012, p. 335-376.
--- Mouraud, A. - Puzenat, D. -Paugam-Moisy, H. DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework. 2006 HAL Id: hal-00015137, version 2
--- 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]
Number of the records: 1