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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

129 related items for PubMed ID: 23339613

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  • 5. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
    Renart A, Moreno-Bote R, Wang XJ, Parga N.
    Neural Comput; 2007 Jan; 19(1):1-46. PubMed ID: 17134316
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  • 7. Chaos-induced modulation of reliability boosts output firing rate in downstream cortical areas.
    Tiesinga PH.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Mar; 69(3 Pt 1):031912. PubMed ID: 15089327
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  • 9. Weber's law implies neural discharge more regular than a Poisson process.
    Kang J, Wu J, Smerieri A, Feng J.
    Eur J Neurosci; 2010 Mar; 31(6):1006-18. PubMed ID: 20377615
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  • 12. Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs.
    Amemori KI, Ishii S.
    Neural Comput; 2001 Dec; 13(12):2763-97. PubMed ID: 11705410
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  • 13. Modeling stimulus-dependent variability improves decoding of population neural responses.
    Ghanbari A, Lee CM, Read HL, Stevenson IH.
    J Neural Eng; 2019 Oct 25; 16(6):066018. PubMed ID: 31404915
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  • 15. Bayesian spiking neurons I: inference.
    Deneve S.
    Neural Comput; 2008 Jan 25; 20(1):91-117. PubMed ID: 18045002
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  • 16. Fano factor estimation.
    Rajdl K, Lansky P.
    Math Biosci Eng; 2014 Feb 25; 11(1):105-23. PubMed ID: 24245675
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  • 18. Bayesian active learning of neural firing rate maps with transformed gaussian process priors.
    Park M, Weller JP, Horwitz GD, Pillow JW.
    Neural Comput; 2014 Aug 25; 26(8):1519-41. PubMed ID: 24877730
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  • 19. Multiscale analysis of neural spike trains.
    Ramezan R, Marriott P, Chenouri S.
    Stat Med; 2014 Jan 30; 33(2):238-56. PubMed ID: 23996238
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