These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 9861993)

  • 1. Spatial and temporal pattern analysis via spiking neurons.
    Natschläger T; Ruf B
    Network; 1998 Aug; 9(3):319-32. PubMed ID: 9861993
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting.
    Ponulak F; Kasiński A
    Neural Comput; 2010 Feb; 22(2):467-510. PubMed ID: 19842989
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A very simple spiking neuron model that allows for modeling of large, complex systems.
    Lovelace JJ; Cios KJ
    Neural Comput; 2008 Jan; 20(1):65-90. PubMed ID: 18045001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spiking neuron model for temporal sequence recognition.
    Byrnes S; Burkitt AN; Grayden DB; Meffin H
    Neural Comput; 2010 Jan; 22(1):61-93. PubMed ID: 19842991
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Learning beyond finite memory in recurrent networks of spiking neurons.
    Tino P; Mills AJ
    Neural Comput; 2006 Mar; 18(3):591-613. PubMed ID: 16483409
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
    Kasabov N; Dhoble K; Nuntalid N; Indiveri G
    Neural Netw; 2013 May; 41():188-201. PubMed ID: 23340243
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using spatiotemporal correlations to learn topographic maps for invariant object recognition.
    Michler F; Eckhorn R; Wachtler T
    J Neurophysiol; 2009 Aug; 102(2):953-64. PubMed ID: 19494190
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Self-organizing continuous attractor network models of hippocampal spatial view cells.
    Stringer SM; Rolls ET; Trappenberg TP
    Neurobiol Learn Mem; 2005 Jan; 83(1):79-92. PubMed ID: 15607692
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian spiking neurons I: inference.
    Deneve S
    Neural Comput; 2008 Jan; 20(1):91-117. PubMed ID: 18045002
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. Dynamic analyses of information encoding in neural ensembles.
    Barbieri R; Frank LM; Nguyen DP; Quirk MC; Solo V; Wilson MA; Brown EN
    Neural Comput; 2004 Feb; 16(2):277-307. PubMed ID: 15006097
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Encoding and decoding spikes for dynamic stimuli.
    Natarajan R; Huys QJ; Dayan P; Zemel RS
    Neural Comput; 2008 Sep; 20(9):2325-60. PubMed ID: 18386986
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Belief propagation in networks of spiking neurons.
    Steimer A; Maass W; Douglas R
    Neural Comput; 2009 Sep; 21(9):2502-23. PubMed ID: 19548806
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hebbian self-organizing integrate-and-fire networks for data clustering.
    Landis F; Ott T; Stoop R
    Neural Comput; 2010 Jan; 22(1):273-88. PubMed ID: 19764879
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics.
    Ros E; Carrillo R; Ortigosa EM; Barbour B; Agís R
    Neural Comput; 2006 Dec; 18(12):2959-93. PubMed ID: 17052155
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatio-temporal influences at the neural level of object recognition.
    Wallis G
    Network; 1998 May; 9(2):265-78. PubMed ID: 9861989
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A principle for learning egocentric-allocentric transformation.
    Byrne P; Becker S
    Neural Comput; 2008 Mar; 20(3):709-37. PubMed ID: 18045016
    [TBL] [Abstract][Full Text] [Related]  

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

  • 20. A unified approach to building and controlling spiking attractor networks.
    Eliasmith C
    Neural Comput; 2005 Jun; 17(6):1276-314. PubMed ID: 15901399
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.