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 *

210 related articles for article (PubMed ID: 11545699)

  • 1. Towards NeuroML: model description methods for collaborative modelling in neuroscience.
    Goddard NH; Hucka M; Howell F; Cornelis H; Shankar K; Beeman D
    Philos Trans R Soc Lond B Biol Sci; 2001 Aug; 356(1412):1209-28. PubMed ID: 11545699
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Collaborative modelling: the future of computational neuroscience?
    Davison AP
    Network; 2012; 23(4):157-66. PubMed ID: 22994605
    [TBL] [Abstract][Full Text] [Related]  

  • 3. NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.
    Gleeson P; Crook S; Cannon RC; Hines ML; Billings GO; Farinella M; Morse TM; Davison AP; Ray S; Bhalla US; Barnes SR; Dimitrova YD; Silver RA
    PLoS Comput Biol; 2010 Jun; 6(6):e1000815. PubMed ID: 20585541
    [TBL] [Abstract][Full Text] [Related]  

  • 4. NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML.
    Birgiolas J; Haynes V; Gleeson P; Gerkin RC; Dietrich SW; Crook S
    PLoS Comput Biol; 2023 Mar; 19(3):e1010941. PubMed ID: 36867658
    [TBL] [Abstract][Full Text] [Related]  

  • 5. libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.
    Vella M; Cannon RC; Crook S; Davison AP; Ganapathy G; Robinson HP; Silver RA; Gleeson P
    Front Neuroinform; 2014; 8():38. PubMed ID: 24795618
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Database challenges and solutions in neuroscientific applications.
    Dashti AE; Ghandeharizadeh S; Stone J; Swanson LW; Thompson RH
    Neuroimage; 1997 Feb; 5(2):97-115. PubMed ID: 9345541
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Avoiding and identifying errors in health technology assessment models: qualitative study and methodological review.
    Chilcott J; Tappenden P; Rawdin A; Johnson M; Kaltenthaler E; Paisley S; Papaioannou D; Shippam A
    Health Technol Assess; 2010 May; 14(25):iii-iv, ix-xii, 1-107. PubMed ID: 20501062
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Geppetto: a reusable modular open platform for exploring neuroscience data and models.
    Cantarelli M; Marin B; Quintana A; Earnshaw M; Court R; Gleeson P; Dura-Bernal S; Silver RA; Idili G
    Philos Trans R Soc Lond B Biol Sci; 2018 Sep; 373(1758):. PubMed ID: 30201843
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Towards reproducible descriptions of neuronal network models.
    Nordlie E; Gewaltig MO; Plesser HE
    PLoS Comput Biol; 2009 Aug; 5(8):e1000456. PubMed ID: 19662159
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Foundations of computational neuroscience.
    Piccinini G; Shagrir O
    Curr Opin Neurobiol; 2014 Apr; 25():25-30. PubMed ID: 24709597
    [TBL] [Abstract][Full Text] [Related]  

  • 11. NEURONSESSIONS: a Web-based collaborative tool to create brain computational models.
    Porto A; RodrĂ­guez G; Dorado J; Pazos A
    Adv Exp Med Biol; 2010; 680():635-42. PubMed ID: 20865549
    [TBL] [Abstract][Full Text] [Related]  

  • 12. NEURON: a tool for neuroscientists.
    Hines ML; Carnevale NT
    Neuroscientist; 2001 Apr; 7(2):123-35. PubMed ID: 11496923
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience.
    Amari S; Beltrame F; Bjaalie JG; Dalkara T; De Schutter E; Egan GF; Goddard NH; Gonzalez C; Grillner S; Herz A; Hoffmann KP; Jaaskelainen I; Koslow SH; Lee SY; Matthiessen L; Miller PL; Da Silva FM; Novak M; Ravindranath V; Ritz R; Ruotsalainen U; Sebestra V; Subramaniam S; Tang Y; Toga AW; Usui S; Van Pelt J; Verschure P; Willshaw D; Wrobel A;
    J Integr Neurosci; 2002 Dec; 1(2):117-28. PubMed ID: 15011281
    [TBL] [Abstract][Full Text] [Related]  

  • 14. EDEN: A High-Performance, General-Purpose, NeuroML-Based Neural Simulator.
    Panagiotou S; Sidiropoulos H; Soudris D; Negrello M; Strydis C
    Front Neuroinform; 2022; 16():724336. PubMed ID: 35669596
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Theory and simulation in neuroscience.
    Gerstner W; Sprekeler H; Deco G
    Science; 2012 Oct; 338(6103):60-5. PubMed ID: 23042882
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MorphML: level 1 of the NeuroML standards for neuronal morphology data and model specification.
    Crook S; Gleeson P; Howell F; Svitak J; Silver RA
    Neuroinformatics; 2007; 5(2):96-104. PubMed ID: 17873371
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Knowledge management of the neuroscientific literature: the data model and underlying strategy of the NeuroScholar system.
    Burns GA
    Philos Trans R Soc Lond B Biol Sci; 2001 Aug; 356(1412):1187-208. PubMed ID: 11545698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The state of MIIND.
    de Kamps M; Baier V; Drever J; Dietz M; Mösenlechner L; van der Velde F
    Neural Netw; 2008 Oct; 21(8):1164-81. PubMed ID: 18783918
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The SONATA data format for efficient description of large-scale network models.
    Dai K; Hernando J; Billeh YN; Gratiy SL; Planas J; Davison AP; Dura-Bernal S; Gleeson P; Devresse A; Dichter BK; Gevaert M; King JG; Van Geit WAH; Povolotsky AV; Muller E; Courcol JD; Arkhipov A
    PLoS Comput Biol; 2020 Feb; 16(2):e1007696. PubMed ID: 32092054
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis.
    Aimone JB; Gage FH
    Eur J Neurosci; 2011 Mar; 33(6):1160-9. PubMed ID: 21395860
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.