Tracking the source of quantitative knowledge in neuroscience: A neuroinformatics role for computational models

Neuroinformatics

Volumn 9, Issue 1, 2011, Pages 1-2

  Baker, John L ^a   Ascoli, Giorgio A ^a  

^a Krasnow Institute for Advanced Study   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; COMPUTER SIMULATION; EDITORIAL; METHODOLOGY; NEUROSCIENCE; THEORETICAL MODEL;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MODELS, THEORETICAL; NEUROSCIENCES;

EID: 79551584526     PISSN: 15392791     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12021-011-9100-7     Document Type: Editorial

References (7)

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3. Davison AP, Morse TM, Migliore M, Shepherd GM, Hines ML (2004) Semi-automated population of an online database of neuronal models (ModelDB) with citation information, using PubMed for validation. Neuroinformatics. 2(3):327-32.
4. Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E (2007) Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics. 5(2):127-38.
5. Zaveri A, Cofiel L, Shah J, Pradhan S, Chan E, Dameron O, Pietrobon R, Ang BT (2010) Achieving high research reporting quality through the use of computational ontologies. Neuroinformatics. 8(4):261-71.
6. Marenco L, Wang R, Shepherd GM, Miller PL (2010) The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web. Neuroinformatics. 8(2):101-12.
7. Rizkallah J, Sin DD (2010) Integrative approach to quality assessment of medical journals using impact factor, eigenfactor, and article influence scores. PLoS One. 5(4):e10204.