Andrews SS, Addy NJ, Brent R, Arkin AP. (2010). Detailed simulations of cell biology with Smoldyn 2.1. PLoS computational biology. 6 [PubMed]
Antolík J, Davison AP. (2013). Integrated workflows for spiking neuronal network simulations. Frontiers in neuroinformatics. 7 [PubMed]
Ascoli GA. (2006). The ups and downs of neuroscience shares. Neuroinformatics. 4 [PubMed]
Ascoli GA. (2015). Sharing Neuron Data: Carrots, Sticks, and Digital Records. PLoS biology. 13 [PubMed]
Ascoli GA, Donohue DE, Halavi M. (2007). NeuroMorpho.Org: a central resource for neuronal morphologies. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]
Baddeley A. (1992). Working memory. Science (New York, N.Y.). 255 [PubMed]
Bandrowski A et al. (2016). The Resource Identification Initiative: A Cultural Shift in Publishing. The Journal of comparative neurology. 524 [PubMed]
Bartol TM, Stiles JR. (2001). Monte Carlo methods for simulating realistic synaptic microphysiology using MCell Computational Neuroscience: Realistic Modelling for Experimentalists.
Baxter DA, Byrne JH. (2007). Simulator for neural networks and action potentials. Methods in molecular biology (Clifton, N.J.). 401 [PubMed]
Bednar JA. (2008). Understanding Neural Maps with Topographica Brains, Minds Media. 3
Bednar JA. (2009). Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components. Frontiers in neuroinformatics. 3 [PubMed]
Beeman D. (2013). History of neural simulation software 20 Years of Computational Neuroscience.
Ben-Shalom R, Liberman G, Korngreen A. (2013). Accelerating compartmental modeling on a graphical processing unit. Frontiers in neuroinformatics. 7 [PubMed]
Bergmann FT, Sauro HM. (2008). Comparing simulation results of SBML capable simulators. Bioinformatics (Oxford, England). 24 [PubMed]
Bezaire MJ, Soltesz I. (2013). Quantitative assessment of CA1 local circuits: knowledge base for interneuron-pyramidal cell connectivity. Hippocampus. 23 [PubMed]
Bhalla US. (2002). Use of Kinetikit and GENESIS for modeling signaling pathways. Methods in enzymology. 345 [PubMed]
Bhalla US, Dudani N, Ray S, Deshpande R. (2008). A general biological simulator: the multiscale object oriented simulation environment, MOOSE BMC Neuroscience. 9(1)
Bhalla US et al. (2011). Connecting MOOSE and NeuroRD through MUSIC: towards a communication framework for multi-scale modeling BMC Neurosci.. 12(Suppl 1)
Bhalla US, Ray S, Dudani N, George S. (2009). Multiscale modeling and interoperability in MOOSE BMC Neuroscience. 10(1)
Bower JM, Beeman D. (1995). The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System..
Bray T, Paoli J, Sperberg-McQueen CM. (1998). Extensible Markup Language (XML) 1.0 http:--www.w3.org-TR-REC-xml W3C Recommendation..
Brette R et al. (2007). Simulation of networks of spiking neurons: a review of tools and strategies. Journal of computational neuroscience. 23 [PubMed]
Britten RD. (2015). Encyclopedia of Computational Neuroscience.
Britten RD et al. (2013). FieldML, a proposed open standard for the Physiome project for mathematical model representation. Medical & biological engineering & computing. 51 [PubMed]
Brown . (2012). Spatial organization and diffusion in neuronal signaling Computational Systems Neurobiology..
Brown SA, Moraru II, Schaff JC, Loew LM. (2011). Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling. Journal of computational neuroscience. 31 [PubMed]
Cannon RC et al. (2007). Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics. 5 [PubMed]
Cannon RC et al. (2014). LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Frontiers in neuroinformatics. 8 [PubMed]
Cannon RC, O'Donnell C, Nolan MF. (2010). Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes. PLoS computational biology. 6 [PubMed]
Cannon RC, Turner DA, Pyapali GK, Wheal HV. (1998). An on-line archive of reconstructed hippocampal neurons. Journal of neuroscience methods. 84 [PubMed]
Carnevale NT, Et AL. (2014). The neuroscience gateway portal: high performance computing made easy, BMC Neuroscience. 15(1)
Carnevale NT et al. (2013). Introducing the Neuroscience Gateway 2013 IWSG, volume 993 of CEUR Workshop Proceedings, CEUR-WS.org,. 993
Casadevall A, Fang FC. (2010). Reproducible science. Infection and immunity. 78 [PubMed]
Castelvecchi D. (2015). The biggest mystery in mathematics: Shinichi Mochizuki and the impenetrable proof. Nature. 526 [PubMed]
Christie GR, Nielsen PM, Blackett SA, Bradley CP, Hunter PJ. (2009). FieldML: concepts and implementation. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 367 [PubMed]
Clewley R. (2012). Hybrid models and biological model reduction with PyDSTool. PLoS computational biology. 8 [PubMed]
Cooper J, Vik JO, Waltemath D. (2015). A call for virtual experiments: accelerating the scientific process. Progress in biophysics and molecular biology. 117 [PubMed]
Cornelis H, Rodriguez AL, Coop AD, Bower JM. (2012). Python as a federation tool for GENESIS 3.0. PloS one. 7 [PubMed]
Cornelis H et al. (2011). NineML: The network interchange for neuroscience modeling language BMC Neuroscience. 12
Davison A. (2012). Automated capture of experiment context for easier reproducibility in computational research Computing In Science And Engineering. 14
Davison AP. (2012). Collaborative modelling: The future of computational neuroscience? Network: Computation in Neural Systems. 23(4)
Davison AP et al. (2008). PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in neuroinformatics. 2 [PubMed]
Davison AP, Hines ML, Muller E. (2009). Trends in programming languages for neuroscience simulations. Frontiers in neuroscience. 3 [PubMed]
Davison AP, Mattioni M, Samarkanov D, Sumatra TB. (2014). Sumatra: A toolkit for reproducible research Implementing reproducible, research.
De Kemps M, Baier V. (2007). Multiple interacting instantiations of neuronal dynamics (MIIND): a library for rapid prototyping of models in cognitive neuroscience, Neural Networks IJCNN International Joint Conference, Aug.
De Schutter E. (2014). The dangers of plug-and-play simulation using shared models. Neuroinformatics. 12 [PubMed]
Dematté L. (2012). Smoldyn on graphics processing units: massively parallel Brownian dynamics simulations. IEEE/ACM transactions on computational biology and bioinformatics. 9 [PubMed]
Djurfeldt M et al. (2010). Run-time interoperability between neuronal network simulators based on the MUSIC framework. Neuroinformatics. 8 [PubMed]
Drummond C. (2009). Replicability is not Reproducibility: Nor is it Good Science Proc. of the Evaluation Methods for Machine Learning Workshop at the 26th ICML, Montreal, Canada.
Eliasmith C et al. (2012). A large-scale model of the functioning brain. Science (New York, N.Y.). 338 [PubMed]
Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO. (2008). PyNEST: A Convenient Interface to the NEST Simulator. Frontiers in neuroinformatics. 2 [PubMed]
Ermentrout GB. (2002). Simulating, Analyzing, and Animating Dynamical System: A Guide to XPPAUT for Researchers and Students Society for Industrial and Applied Mathematics (SIAM).
Et AL, Crook S. (2013). Learning from the past: approaches for reproducibility in computational neuroscience 20 Years of Computational Neuroscience.
Et AL, Gladkov DV. (2011). Accelerating the Smoldyn spatial stochastic biochemical reaction network simulator using GPUs Proceedings of the 19th High Performance C. Symposia. Society for Computer Simulation International.
Et AL, Goodman DF. (2014). Brian 2: neural simulations on a variety of computational hardware BMC Neuroscience. 15(1)
Et AL, Hedley WJ. (2001). A short introduction to CellML Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences,. 359(1738)
Et AL, Jin X. (2010). Modeling spiking neural networks on SpiNNaker Computing in Science & Engineering. 12
Et AL, Khan MM. (2008). SpiNNaker: mapping neural networks onto a massively-parallel chip multiprocessor, Neural Networks EEE World Congress on Computational Intelligence). IEEE International Joint Conference.
Et AL, Le Franc Y. (2012). Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models BMC Neuroscience. 13(1)
Et AL, Mukherjee S. (2005). The soft error problem: An architectural perspective High-Performance Computer Architecture HPCA- 11. 11th International Symposium on. IEEE.
Et AL, Plesser H. (2015). NEST: the neural simulation tool Encyclopedia of Computational Neuroscience.
Et AL, Weeks WT. (1973). Algorithms for ASTAP–a network-analysis program Circuit Theory, IEEE Transactions. 20(6)
Et AL, Yoo AB. (2003). Slurm: Simple linux utility for resource management ob Scheduling Strategies for Parallel Processing.
Et al et al. (2001). Mathematical Markup Language (MathML) Version 2.0. W3C Recommendation. .
Et al , Cuellar AA. (2003). An overview of CellML 1.1, a biological model description language Simulation. 79
Fenton AA et al. (2010). Attention-like modulation of hippocampus place cell discharge. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]
Ferguson AR, Nielson JL, Cragin MH, Bandrowski AE, Martone ME. (2014). Big data from small data: data-sharing in the 'long tail' of neuroscience. Nature neuroscience. 17 [PubMed]
Folk M, Cheng A, Mcgrath RE. (1999). HDF5: A new file format and I-O library for scientific data management Astronom-ical data analysis software and systems VIII proceedings.
Gardner D et al. (2008). The neuroscience information framework: a data and knowledge environment for neuroscience. Neuroinformatics. 6 [PubMed]
Gardner D et al. (2003). Towards effective and rewarding data sharing. Neuroinformatics. 1 [PubMed]
Gerkin RC, Omar C. (2014). Collaboratively testing the validity of neuroscientific models Frontiers in Neuroinformatics. 1
Glaser JR, Glaser EM. (1990). Neuron imaging with Neurolucida--a PC-based system for image combining microscopy. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 14 [PubMed]
Gleeson . (2007). Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators BMC Neuroscience. 8(2)
Gleeson P et al. (2010). NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS computational biology. 6 [PubMed]
Gleeson P, Steuber V, Silver RA. (2007). neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54 [PubMed]
Goddard N, Hood N. (1997). Parallel GENESIS for large scale modeling Computational Neuroscience, Trends In Research.
Goddard NH et al. (2001). Towards NeuroML: model description methods for collaborative modelling in neuroscience. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 356 [PubMed]
Goodman D, Brette R. (2008). Brian: a simulator for spiking neural networks in python. Frontiers in neuroinformatics. 2 [PubMed]
Gorgolewski KJ, Margulies DS, Milham MP. (2013). Making data sharing count: a publication-based solution. Frontiers in neuroscience. 7 [PubMed]
Gupta A et al. (2008). Federated access to heterogeneous information resources in the Neuroscience Information Framework (NIF). Neuroinformatics. 6 [PubMed]
HODGKIN AL, HUXLEY AF. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of physiology. 117 [PubMed]
Halavi M, Hamilton KA, Parekh R, Ascoli GA. (2012). Digital reconstructions of neuronal morphology: three decades of research trends. Frontiers in neuroscience. 6 [PubMed]
Halchenko YO, Hanke M. (2012). Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience. Frontiers in neuroinformatics. 6 [PubMed]
Hamilton DJ, Shepherd GM, Martone ME, Ascoli GA. (2012). An ontological approach to describing neurons and their relationships. Frontiers in neuroinformatics. 6 [PubMed]
Henderson RL. (1995). ob scheduling under the portable batch system Job scheduling strategies for parallel processing.
Hernjak N et al. (2005). Modeling and analysis of calcium signaling events leading to long-term depression in cerebellar Purkinje cells. Biophysical journal. 89 [PubMed]
Hines M. (1984). Efficient computation of branched nerve equations. International journal of bio-medical computing. 15 [PubMed]
Hines ML, Carnevale NT. (2000). Expanding NEURON's repertoire of mechanisms with NMODL. Neural computation. 12 [PubMed]
Hines ML, Carnevale NT. (2001). NEURON: a tool for neuroscientists. The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry. 7 [PubMed]
Hines ML, Davison AP, Muller E. (2009). NEURON and Python. Frontiers in neuroinformatics. 3 [PubMed]
Hines ML, Kohn MC, Kootsey JM, Feezor MD. (1994). A block organized model builder Mathematical and Computer Modelling. 19(6)
Hines ML, Markram H, Schürmann F. (2008). Fully implicit parallel simulation of single neurons. Journal of computational neuroscience. 25 [PubMed]
Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM. (2004). ModelDB: A Database to Support Computational Neuroscience. Journal of computational neuroscience. 17 [PubMed]
Hines ML, Morse TM, Carnevale NT. (2007). Model structure analysis in NEURON : toward interoperability among neural simulators. Methods in molecular biology (Clifton, N.J.). 401 [PubMed]
Hucka M et al. (2003). The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics (Oxford, England). 19 [PubMed]
Hucka M et al. (2015). Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative. Frontiers in bioengineering and biotechnology. 3 [PubMed]
Jaeger D et al. (2012). The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience Twenty First Annual Computational Neuroscience Meeting: CNS*2012. 13(Suppl 1)
Juty N et al. (2015). BioModels: Content, Features, Functionality, and Use. CPT: pharmacometrics & systems pharmacology. 4 [PubMed]
Keller DX, Franks KM, Bartol TM, Sejnowski TJ. (2008). Calmodulin activation by calcium transients in the postsynaptic density of dendritic spines. PloS one. 3 [PubMed]
King JG et al. (2009). A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON. Frontiers in neuroinformatics. 3 [PubMed]
Lapicque L. (1907). Recherches quantitatives sur lexcitation electrique des nerfs traitee comme une polarisation J Physiol Pathol Gen. 9
Larson SD, Martone ME. (2013). NeuroLex.org: an online framework for neuroscience knowledge. Frontiers in neuroinformatics. 7 [PubMed]
Lee S, Zhou ZJ. (2006). The synaptic mechanism of direction selectivity in distal processes of starburst amacrine cells. Neuron. 51 [PubMed]
Lloyd CM, Halstead MD, Nielsen PF. (2004). CellML: its future, present and past. Progress in biophysics and molecular biology. 85 [PubMed]
Lloyd CM, Lawson JR, Hunter PJ, Nielsen PF. (2008). The CellML Model Repository. Bioinformatics (Oxford, England). 24 [PubMed]
Loew LM, Schaff JC. (2001). The Virtual Cell: a software environment for computational cell biology. Trends in biotechnology. 19 [PubMed]
Marenco L, Ascoli GA, Martone ME, Shepherd GM, Miller PL. (2008). The NIF LinkOut broker: a web resource to facilitate federated data integration using NCBI identifiers. Neuroinformatics. 6 [PubMed]
Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]
Mattioni M, Le Novère N. (2013). Integration of biochemical and electrical signaling-multiscale model of the medium spiny neuron of the striatum. PloS one. 8 [PubMed]
McDougal RA, Hines ML, Lytton WW. (2013). Reaction-diffusion in the NEURON simulator. Frontiers in neuroinformatics. 7 [PubMed]
McDougal RA, Morse TM, Hines ML, Shepherd GM. (2015). ModelView for ModelDB: Online Presentation of Model Structure. Neuroinformatics. 13 [PubMed]
Mead C. (1990). Neuromorphic electronic systems Proc IEEE. 78
Migliore M, Cannia C, Lytton WW, Markram H, Hines ML. (2006). Parallel network simulations with NEURON. Journal of computational neuroscience. 21 [PubMed]
Migliore M, Cavarretta F, Hines ML, Shepherd GM. (2014). Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb. Frontiers in computational neuroscience. 8 [PubMed]
Migliore M et al. (2003). ModelDB: making models publicly accessible to support computational neuroscience. Neuroinformatics. 1 [PubMed]
Miller AK et al. (2010). An overview of the CellML API and its implementation. BMC bioinformatics. 11 [PubMed]
Myatt DR, Hadlington T, Ascoli GA, Nasuto SJ. (2012). Neuromantic - from semi-manual to semi-automatic reconstruction of neuron morphology. Frontiers in neuroinformatics. 6 [PubMed]
Neymotin SA et al. (2016). Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex. Neuroscience. 316 [PubMed]
Neymotin SA et al. (2015). Neuronal calcium wave propagation varies with changes in endoplasmic reticulum parameters: a computer model. Neural computation. 27 [PubMed]
No authors listed. (2015). Documentation Allen Cell Types Database.
Nordlie E, Gewaltig MO, Plesser HE. (2009). Towards reproducible descriptions of neuronal network models. PLoS computational biology. 5 [PubMed]
Oliveira RF et al. (2010). The role of type 4 phosphodiesterases in generating microdomains of cAMP: large scale stochastic simulations. PloS one. 5 [PubMed]
Olivier BG, Snoep JL. (2004). Web-based kinetic modelling using JWS Online. Bioinformatics (Oxford, England). 20 [PubMed]
Pecevski D, Natschläger T, Schuch K. (2009). PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python. Frontiers in neuroinformatics. 3 [PubMed]
Peercy BE. (2008). Initiation and propagation of a neuronal intracellular calcium wave. Journal of computational neuroscience. 25 [PubMed]
Peng H et al. (2015). BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images. Neuron. 87 [PubMed]
Poldrack RA, Poline JB. (2015). The publication and reproducibility challenges of shared data. Trends in cognitive sciences. 19 [PubMed]
Popper . (). Conjectures and refutations; the growth of scientific knowledge.
Raikov I, De Schutter E. (2012). The promise and shortcomings of XML as an interchange format for computational models of biology. Neuroinformatics. 10 [PubMed]
Ramaswamy S et al. (2015). The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Frontiers in neural circuits. 9 [PubMed]
Ray S, Bhalla US. (2008). PyMOOSE: Interoperable Scripting in Python for MOOSE. Frontiers in neuroinformatics. 2 [PubMed]
Ray S, Chintaluri C, Bhalla US, Wójcik DK. (2016). NSDF: Neuroscience Simulation Data Format. Neuroinformatics. 14 [PubMed]
Schulz M, Uhlendorf J, Klipp E, Liebermeister W. (2006). SBMLmerge, a system for combining biochemical network models. Genome informatics. International Conference on Genome Informatics. 17 [PubMed]
Sejnowski TJ, Koch C, Churchland PS. (1988). Computational neuroscience. Science (New York, N.Y.). 241 [PubMed]
Shepherd GM, Brayton RK. (1979). Computer simulation of a dendrodendritic synaptic circuit for self- and lateral-inhibition in the olfactory bulb. Brain research. 175 [PubMed]
Silver R, Boahen K, Grillner S, Kopell N, Olsen KL. (2007). Neurotech for neuroscience: unifying concepts, organizing principles, and emerging tools. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]
Smith LP, Butterworth E, Bassingthwaighte JB, Sauro HM. (2014). SBML and CellML translation in antimony and JSim. Bioinformatics (Oxford, England). 30 [PubMed]
Stevens JL, Elver M, Bednar JA. (2013). An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook. Frontiers in neuroinformatics. 7 [PubMed]
Stewart TC, Tripp B, Eliasmith C. (2009). Python scripting in the nengo simulator. Frontiers in neuroinformatics. 3 [PubMed]
Stimberg M, Goodman DF, Benichoux V, Brette R. (2014). Equation-oriented specification of neural models for simulations. Frontiers in neuroinformatics. 8 [PubMed]
Szigeti B et al. (2014). OpenWorm: an open-science approach to modeling Caenorhabditis elegans. Frontiers in computational neuroscience. 8 [PubMed]
Taichman DB et al. (2016). Sharing Clinical Trial Data: A Proposal From the International Committee of Medical Journal Editors. Annals of internal medicine. 164 [PubMed]
Teeters JL et al. (2015). Neurodata Without Borders: Creating a Common Data Format for Neurophysiology. Neuron. 88 [PubMed]
Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT. (2008). Data sharing for computational neuroscience. Neuroinformatics. 6 [PubMed]
Toni N et al. (2007). Synapse formation on neurons born in the adult hippocampus. Nature neuroscience. 10 [PubMed]
Tripathy SJ, Savitskaya J, Burton SD, Urban NN, Gerkin RC. (2014). NeuroElectro: a window to the world's neuron electrophysiology data. Frontiers in neuroinformatics. 8 [PubMed]
Uhrmacher AM. (2012). Seven pitfalls in modeling and simulation research, Proceedings of the Winter Simulation Conference. Winter Simulation Conference.
Usui S. (2003). Visiome: neuroinformatics research in vision project. Neural networks : the official journal of the International Neural Network Society. 16 [PubMed]
Van Rossum G, Drake FL. (). Python reference manual.
Vella M et al. (2014). libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience. Frontiers in neuroinformatics. 8 [PubMed]
Waltemath D et al. (2011). Minimum Information About a Simulation Experiment (MIASE). PLoS computational biology. 7 [PubMed]
Waltemath D et al. (2011). Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language. BMC systems biology. 5 [PubMed]
Waltemath D, Henkel R, Hälke R, Scharm M, Wolkenhauer O. (2013). Improving the reuse of computational models through version control. Bioinformatics (Oxford, England). 29 [PubMed]
Wearne SL et al. (2005). New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales. Neuroscience. 136 [PubMed]
Wheeler DW et al. (2015). Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus. eLife. 4 [PubMed]
Williams R. (2015). Can't Get No Reproduction: Leading Researchers Discuss the Problem of Irreproducible Results. Circulation research. 117 [PubMed]
Wils S, De Schutter E. (2009). STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python. Frontiers in neuroinformatics. 3 [PubMed]
Yamazaki T et al. (2011). Simulation Platform: a cloud-based online simulation environment. Neural networks : the official journal of the International Neural Network Society. 24 [PubMed]
Yavuz E, Turner J, Nowotny T. (2016). GeNN: a code generation framework for accelerated brain simulations. Scientific reports. 6 [PubMed]
Yu T et al. (2011). The Physiome Model Repository 2. Bioinformatics (Oxford, England). 27 [PubMed]
Ziv I, Baxter DA, Byrne JH. (1994). Simulator for neural networks and action potentials: description and application. Journal of neurophysiology. 71 [PubMed]
Crone JC et al. (2019). Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator Frontiers in Neuroinformatics. 13
Lytton WW et al. (2016). Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural computation. 28 [PubMed]
Soltesz I, Armstrong C, Raikov I, Bezaire M, Burk K. (2016). SimTracker tool and code template to design, manage and analyze neural network model simulations in parallel NEURON bioRxiv.