Padraig Gleeson
Affiliations: | University College London, London, United Kingdom |
Area:
Computational neuroscienceWebsite:
http://www.neuroconstruct.orgGoogle:
"Padraig Gleeson"Mean distance: 15.3 (cluster 11) | S | N | B | C | P |
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Publications
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Birgiolas J, Haynes V, Gleeson P, et al. (2023) NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. Plos Computational Biology. 19: e1010941 |
Shaikh B, Smith LP, Vasilescu D, et al. (2022) BioSimulators: a central registry of simulation engines and services for recommending specific tools. Nucleic Acids Research |
Waltemath D, Golebiewski M, Blinov ML, et al. (2020) The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE). Journal of Integrative Bioinformatics |
Dai K, Hernando J, Billeh YN, et al. (2020) The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696 |
Schreiber F, Sommer B, Bader GD, et al. (2019) Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2019. Journal of Integrative Bioinformatics |
Gleeson P, Cantarelli M, Marin B, et al. (2019) Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits. Neuron |
Dura-Bernal S, Suter BA, Gleeson P, et al. (2019) NetPyNE, a tool for data-driven multiscale modeling of brain circuits. Elife. 8 |
Dura-Bernal S, Suter BA, Gleeson P, et al. (2019) Author response: NetPyNE, a tool for data-driven multiscale modeling of brain circuits Elife |
Neal ML, König M, Nickerson D, et al. (2018) Harmonizing semantic annotations for computational models in biology. Briefings in Bioinformatics |
Blundell I, Brette R, Cleland TA, et al. (2018) Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers in Neuroinformatics. 12: 68 |