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1564 related items for PubMed ID: 17134316

  • 1. 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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  • 2. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.
    Jackson BS.
    Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210
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  • 3. Response variability in balanced cortical networks.
    Lerchner A, Ursta C, Hertz J, Ahmadi M, Ruffiot P, Enemark S.
    Neural Comput; 2006 Mar; 18(3):634-59. PubMed ID: 16483411
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  • 9. Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task.
    Compte A, Constantinidis C, Tegner J, Raghavachari S, Chafee MV, Goldman-Rakic PS, Wang XJ.
    J Neurophysiol; 2003 Nov; 90(5):3441-54. PubMed ID: 12773500
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  • 13. Background-activity-dependent properties of a network model for working memory that incorporates cellular bistability.
    Fall CP, Lewis TJ, Rinzel J.
    Biol Cybern; 2005 Aug; 93(2):109-18. PubMed ID: 15806392
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  • 15. Computation with spikes in a winner-take-all network.
    Oster M, Douglas R, Liu SC.
    Neural Comput; 2009 Sep; 21(9):2437-65. PubMed ID: 19548795
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  • 16. Dynamical constraints on using precise spike timing to compute in recurrent cortical networks.
    Banerjee A, Seriès P, Pouget A.
    Neural Comput; 2008 Apr; 20(4):974-93. PubMed ID: 18085984
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  • 19. Implications of synaptic biophysics for recurrent network dynamics and active memory.
    Durstewitz D.
    Neural Netw; 2009 Oct; 22(8):1189-200. PubMed ID: 19647396
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