Padraig Gleeson
Padraig Gleeson
Department of Neuroscience, Physiology and Pharmacology, University College London
Verified email at - Homepage
Cited by
Cited by
Updated energy budgets for neural computation in the neocortex and cerebellum
C Howarth, P Gleeson, D Attwell
Journal of Cerebral Blood Flow & Metabolism 32 (7), 1222-1232, 2012
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail
P Gleeson, S Crook, RC Cannon, ML Hines, GO Billings, M Farinella, ...
PLoS Comput Biol 6 (6), e1000815, 2010
Rapid desynchronization of an electrically coupled interneuron network with sparse excitatory synaptic input
K Vervaeke, A Lőrincz, P Gleeson, M Farinella, Z Nusser, RA Silver
Neuron 67 (3), 435-451, 2010
neuroConstruct: a tool for modeling networks of neurons in 3D space
P Gleeson, V Steuber, RA Silver
Neuron 54 (2), 219-235, 2007
OpenWorm: an open-science approach to modelling Caenorhabditis elegans
B Szigeti, P Gleeson, M Vella, S Khayrulin, A Palyanov, J Hokanson, ...
Name: Frontiers in Computational Neuroscience 8, 137, 2014
The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex
S Ramaswamy, JD Courcol, M Abdellah, SR Adaszewski, N Antille, ...
Frontiers in Neural Circuits 9, 44, 2015
OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans
GP Sarma, CW Lee, T Portegys, V Ghayoomie, T Jacobs, B Alicea, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
Toward standard practices for sharing computer code and programs in neuroscience
SJ Eglen, B Marwick, YO Halchenko, M Hanke, S Sufi, P Gleeson, ...
Nature Neuroscience 20 (6), 770-773, 2017
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
RC Cannon, P Gleeson, S Crook, G Ganapathy, B Marin, E Piasini, ...
Frontiers in Neuroinformatics 8, 2014
NetPyNE: a tool for data-driven multiscale modeling of brain circuits
S Dura-Bernal, B Suter, P Gleeson, M Cantarelli, A Quintana, F Rodriguez, ...
bioRxiv, 461137, 2018
Interoperability of neuroscience modeling software: current status and future directions
RC Cannon, MO Gewaltig, P Gleeson, US Bhalla, H Cornelis, ML Hines, ...
Neuroinformatics 5 (2), 127-138, 2007
Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits
P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, E Piasini, ...
bioRxiv, 229484, 2018
MorphML: level 1 of the NeuroML standards for neuronal morphology data and model specification
S Crook, P Gleeson, F Howell, J Svitak, RA Silver
Neuroinformatics 5 (2), 96-104, 2007
A Commitment to Open Source in Neuroscience
P Gleeson, AP Davison, RA Silver, GA Ascoli
Neuron 96 (5), 964-965, 2017
Harmonizing semantic annotations for computational models in biology
ML Neal, M König, D Nickerson, G Mısırlı, R Kalbasi, A Dräger, K Atalag, ...
Briefings in bioinformatics 20 (2), 540-550, 2019
c302: a multiscale framework for modelling the nervous system of Caenorhabditis elegans
P Gleeson, D Lung, R Grosu, R Hasani, SD Larson
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
Code generation in computational neuroscience: a review of tools and techniques
I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ...
Frontiers in Neuroinformatics 12, 68, 2018
NineML: the network interchange for neuroscience modeling language
I Raikov, R Cannon, R Clewley, H Cornelis, A Davison, E De Schutter, ...
BMC Neuroscience 12 (Suppl 1), P330, 2011
libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience
M Vella, RC Cannon, S Crook, AP Davison, G Ganapathy, HPC Robinson, ...
Frontiers in neuroinformatics 8, 2014
Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)
D Waltemath, FT Bergmann, C Chaouiya, T Czauderna, P Gleeson, ...
Standards in Genomic Sciences 9 (3), 1285, 2014
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