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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

343 related items for PubMed ID: 14690703

  • 1. Self-organising continuous attractor networks with multiple activity packets, and the representation of space.
    Stringer SM, Rolls ET, Trappenberg TP.
    Neural Netw; 2004 Jan; 17(1):5-27. PubMed ID: 14690703
    [Abstract] [Full Text] [Related]

  • 2. Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells.
    Stringer SM, Trappenberg TP, Rolls ET, de Araujo IE.
    Network; 2002 May; 13(2):217-42. PubMed ID: 12061421
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. Self-organizing continuous attractor networks and path integration: two-dimensional models of place cells.
    Stringer SM, Rolls ET, Trappenberg TP, de Araujo IE.
    Network; 2002 Nov; 13(4):429-46. PubMed ID: 12463338
    [Abstract] [Full Text] [Related]

  • 5. Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction.
    Rolls ET, Stringer SM.
    Neural Netw; 2005 Nov; 18(9):1229-41. PubMed ID: 16257507
    [Abstract] [Full Text] [Related]

  • 6. Self-organizing path integration using a linked continuous attractor and competitive network: path integration of head direction.
    Stringer SM, Rolls ET.
    Network; 2006 Dec; 17(4):419-45. PubMed ID: 17162462
    [Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Attractor neural network models of spatial maps in hippocampus.
    Tsodyks M.
    Hippocampus; 1999 Dec; 9(4):481-9. PubMed ID: 10495029
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11. Visuotactile representation of peripersonal space: a neural network study.
    Magosso E, Zavaglia M, Serino A, di Pellegrino G, Ursino M.
    Neural Comput; 2010 Jan; 22(1):190-243. PubMed ID: 19764874
    [Abstract] [Full Text] [Related]

  • 12. Network capacity analysis for latent attractor computation.
    Doboli S, Minai AA.
    Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
    [Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. Dynamics and computation of continuous attractors.
    Wu S, Hamaguchi K, Amari S.
    Neural Comput; 2008 Apr; 20(4):994-1025. PubMed ID: 18085986
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. "What" and "where" in visual working memory: a computational neurodynamical perspective for integrating FMRI and single-neuron data.
    Deco G, Rolls ET, Horwitz B.
    J Cogn Neurosci; 2004 May; 16(4):683-701. PubMed ID: 15165356
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 18.