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1024 related items for PubMed ID: 18533136

  • 1. Spikes, synchrony, and attentive learning by laminar thalamocortical circuits.
    Grossberg S, Versace M.
    Brain Res; 2008 Jul 07; 1218():278-312. PubMed ID: 18533136
    [Abstract] [Full Text] [Related]

  • 2. Consciousness CLEARS the mind.
    Grossberg S.
    Neural Netw; 2007 Nov 07; 20(9):1040-53. PubMed ID: 17964756
    [Abstract] [Full Text] [Related]

  • 3. Cortext: a columnar model of bottom-up and top-down processing in the neocortex.
    Schrader S, Gewaltig MO, Körner U, Körner E.
    Neural Netw; 2009 Oct 07; 22(8):1055-70. PubMed ID: 19713075
    [Abstract] [Full Text] [Related]

  • 4. The link between brain learning, attention, and consciousness.
    Grossberg S.
    Conscious Cogn; 1999 Mar 07; 8(1):1-44. PubMed ID: 10072692
    [Abstract] [Full Text] [Related]

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  • 6. Oscillations and spiking pairs: behavior of a neuronal model with STDP learning.
    Shen X, Lin X, De Wilde P.
    Neural Comput; 2008 Aug 07; 20(8):2037-69. PubMed ID: 18336082
    [Abstract] [Full Text] [Related]

  • 7. Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition.
    Grossberg S.
    Prog Brain Res; 2007 Aug 07; 165():79-104. PubMed ID: 17925241
    [Abstract] [Full Text] [Related]

  • 8. Adaptive Resonance Theory: how a brain learns to consciously attend, learn, and recognize a changing world.
    Grossberg S.
    Neural Netw; 2013 Jan 07; 37():1-47. PubMed ID: 23149242
    [Abstract] [Full Text] [Related]

  • 9. Spike-timing-dependent plasticity leads to gamma band responses in a neural network.
    Fründ I, Ohl FW, Herrmann CS.
    Biol Cybern; 2009 Sep 07; 101(3):227-40. PubMed ID: 19789891
    [Abstract] [Full Text] [Related]

  • 10. Selective population rate coding: a possible computational role of gamma oscillations in selective attention.
    Masuda N.
    Neural Comput; 2009 Dec 07; 21(12):3335-62. PubMed ID: 19686062
    [Abstract] [Full Text] [Related]

  • 11. Bayesian spiking neurons II: learning.
    Deneve S.
    Neural Comput; 2008 Jan 07; 20(1):118-45. PubMed ID: 18045003
    [Abstract] [Full Text] [Related]

  • 12. A computational framework for cortical learning.
    Suri RE.
    Biol Cybern; 2004 Jun 07; 90(6):400-9. PubMed ID: 15316786
    [Abstract] [Full Text] [Related]

  • 13. A learning rule for the emergence of stable dynamics and timing in recurrent networks.
    Buonomano DV.
    J Neurophysiol; 2005 Oct 07; 94(4):2275-83. PubMed ID: 16160088
    [Abstract] [Full Text] [Related]

  • 14. Deterministic neural dynamics transmitted through neural networks.
    Asai Y, Guha A, Villa AE.
    Neural Netw; 2008 Aug 07; 21(6):799-809. PubMed ID: 18675536
    [Abstract] [Full Text] [Related]

  • 15. Spiking neural networks for cortical neuronal spike train decoding.
    Fang H, Wang Y, He J.
    Neural Comput; 2010 Apr 07; 22(4):1060-85. PubMed ID: 19922291
    [Abstract] [Full Text] [Related]

  • 16. Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity.
    Florian RV.
    Neural Comput; 2007 Jun 07; 19(6):1468-502. PubMed ID: 17444757
    [Abstract] [Full Text] [Related]

  • 17. Spike-timing dynamics of neuronal groups.
    Izhikevich EM, Gally JA, Edelman GM.
    Cereb Cortex; 2004 Aug 07; 14(8):933-44. PubMed ID: 15142958
    [Abstract] [Full Text] [Related]

  • 18. From brain synapses to systems for learning and memory: Object recognition, spatial navigation, timed conditioning, and movement control.
    Grossberg S.
    Brain Res; 2015 Sep 24; 1621():270-93. PubMed ID: 25446436
    [Abstract] [Full Text] [Related]

  • 19. Experience-induced neural circuits that achieve high capacity.
    Feldman V, Valiant LG.
    Neural Comput; 2009 Oct 24; 21(10):2715-54. PubMed ID: 19635015
    [Abstract] [Full Text] [Related]

  • 20. STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns.
    Hosaka R, Araki O, Ikeguchi T.
    Neural Comput; 2008 Feb 24; 20(2):415-35. PubMed ID: 18045011
    [Abstract] [Full Text] [Related]

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