An online Hebbian learning rule that performs independent component analysis

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Clopath, Claudia ^a   Longtin, Andre ^b   Gerstner, Wulfram ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

E-LEARNING; NEURAL NETWORKS;

AMPLITUDE DISTRIBUTIONS; DATA WHITENING; HEBBIAN LEARNING; HIGH MOMENT; INDEPENDENT COMPONENTS ANALYSIS; LEARNING RULES; NEURAL MECHANISMS; ONLINE LEARNING; SECOND ORDERS; TEMPORAL CORRELATIONS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 85162071619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A. Hyvaerinen, J. Karhunen, and E. Oja. Independent Component Analysis. Wiley-Interscience, 2001.
2. L Tong, R Liu, VC Soon, and YF Huang. Indeterminacy and identifiability of blind identification. IEEE Trans. on Circuits and Systems, 1991.
3. A. Belouchrani, KA. Meraim, JF. Cardoso, and E. Moulines. A blind source separation technique based on second order statistics. IEEE Trans. on Sig. Proc., 1997.
4. L. Molgedey and H.G. Schuster. Separation of a mixture of independent signals using time delayed correlations. Phys. Rev. Lett., 72:3634-37, 1994. (Pubitemid 24975489)
5. A. Ziehe and K. Muller. Tdsep - an efficient algorithm for blind separation using time structure.
6. KR. Mueller, P. Philips, and A. Ziehe. Jade td : Combining higher-order statistics and temporal information for blind source separation (with noise). Proc. Int. Workshop on ICA, 1999.
7. A. Hyvaerinen. Independent component analysis for time-dependent stochastic processes. Proc. Int. Conf. on Art. Neur. Net., 1998.
8. A. Hyvaerinen. Complexity pursuit: Separating interesting components from time-series. Neural Computation, 13:883-898, 2001.
9. E. Oja. A simplified neuron model as principal component analyzer. J. Math. Biol., 15:267-273, 1982. (Pubitemid 13209700)
10. J.J. Hopfield. Olfactory computation and object perception. PNAS, 88:6462-6466, 1991. (Pubitemid 21914966)
11. H. Gavert, J. Hurri, J. Sarela, and A. Hyvarinen. Fastica and cocktail party demo. http://www.cis.hut.fi/projects/ica/.
12. R. C. Froemke, M. Poo, and Y. Dan. Spike-timing dependent synaptic plasticity depends on dentritic location. Nature, 434:221-225, 2005. (Pubitemid 40388053)
13. G. Bi and M. Poo. Synaptic modification by correlated activity: Hebb's postulate revisited. Annual Review of Neuroscience, 2001.
14. H. Markram, J. Lübke, M. Frotscher, and B. Sakmann. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science, 275:213-215, 1997. (Pubitemid 27034762)
15. W. Gerstner, R. Kempter, JL. van Hemmen, and H. Wagner. A neuronal learning rule for sub-millisecond temporal coding. Nature, 383:76-78, 1996. (Pubitemid 26296463)