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Andrew P Davison

Showing results (21-30 of 35) with videos related to

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Frontiers in Neuroinformatics|October 13, 2022
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron modelsLuca Leonardo Bologna, Roberto Smiriglia, Carmen Alina Lupascu, et al.
Frontiers in Neuroinformatics|May 6, 2014
libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscienceMichael Vella, Robert C Cannon, Sharon Crook, et al.
Frontiers in Neuroinformatics|March 7, 2014
Neo: an object model for handling electrophysiology data in multiple formatsSamuel Garcia, Domenico Guarino, Florent Jaillet, et al.
Elife|January 10, 2025
The NeuroML ecosystem for standardized multi-scale modeling in neuroscienceAnkur Sinha, Padraig Gleeson, Bóris Marin, et al.
Plos Computational Biology|January 29, 2021
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological dataSára Sáray, Christian A Rössert, Shailesh Appukuttan, et al.
Nature Neuroscience|May 26, 2017
Toward standard practices for sharing computer code and programs in neuroscienceStephen J Eglen, Ben Marwick, Yaroslav O Halchenko, et al.
Network (Bristol, England)|September 22, 2012
Creating, documenting and sharing network modelsSharon M Crook, James A Bednar, Sandra Berger, et al.
Plos Computational Biology|June 30, 2010
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detailPadraig Gleeson, Sharon Crook, Robert C Cannon, et al.
Cerebral Cortex (New York, N.Y. : 1991)|November 9, 2025
Building on models-a perspective for computational neuroscienceHans Ekkehard Plesser, Andrew P Davison, Markus Diesmann, et al.
Plos Computational Biology|February 25, 2020
The SONATA data format for efficient description of large-scale network modelsKael Dai, Juan Hernando, Yazan N Billeh, et al.
Pageof 4

Showing results (21-30 of 35) with videos related to

Sort By:
Pageof 4
Frontiers in Neuroinformatics|October 13, 2022
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron modelsLuca Leonardo Bologna, Roberto Smiriglia, Carmen Alina Lupascu, et al.
Frontiers in Neuroinformatics|May 6, 2014
libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscienceMichael Vella, Robert C Cannon, Sharon Crook, et al.
Frontiers in Neuroinformatics|March 7, 2014
Neo: an object model for handling electrophysiology data in multiple formatsSamuel Garcia, Domenico Guarino, Florent Jaillet, et al.
Elife|January 10, 2025
The NeuroML ecosystem for standardized multi-scale modeling in neuroscienceAnkur Sinha, Padraig Gleeson, Bóris Marin, et al.
Plos Computational Biology|January 29, 2021
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological dataSára Sáray, Christian A Rössert, Shailesh Appukuttan, et al.
Nature Neuroscience|May 26, 2017
Toward standard practices for sharing computer code and programs in neuroscienceStephen J Eglen, Ben Marwick, Yaroslav O Halchenko, et al.
Network (Bristol, England)|September 22, 2012
Creating, documenting and sharing network modelsSharon M Crook, James A Bednar, Sandra Berger, et al.
Plos Computational Biology|June 30, 2010
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detailPadraig Gleeson, Sharon Crook, Robert C Cannon, et al.
Cerebral Cortex (New York, N.Y. : 1991)|November 9, 2025
Building on models-a perspective for computational neuroscienceHans Ekkehard Plesser, Andrew P Davison, Markus Diesmann, et al.
Plos Computational Biology|February 25, 2020
The SONATA data format for efficient description of large-scale network modelsKael Dai, Juan Hernando, Yazan N Billeh, et al.
Pageof 4