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Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO (2008) PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform 2:12 [PubMed]

References and models cited by this paper

References and models that cite this paper

Brette R, Goodman DF (2011) Vectorized algorithms for spiking neural network simulation. Neural Comput 23:1503-35 [Journal] [PubMed]
   Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011) [Model]
Chen W, De Schutter E (2014) Python-based geometry preparation and simulation visualization toolkits for STEPS. Front Neuroinform 8:37 [Journal] [PubMed]
   Python-based toolkits for STEPS (Chen and De Schutter 2014) [Model]
Friedrich P, Vella M, Gulyás AI, Freund TF, Káli S (2014) A flexible, interactive software tool for fitting the parameters of neuronal models. Front Neuroinform 8:63 [Journal] [PubMed]
   Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014) [Model]
Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD, Silver RA (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol 6:e1000815 [Journal] [PubMed]
Lytton WW, Seidenstein AH, Dura-Bernal S, McDougal RA, Schürmann F, Hines ML (2016) Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural Comput 28:2063-90 [Journal] [PubMed]
   Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]
McDougal RA, Bulanova AS, Lytton WW (2016) Reproducibility in Computational Neuroscience Models and Simulations. IEEE Trans Biomed Eng 63:2021-35 [Journal] [PubMed]
Potjans TC, Diesmann M (2014) The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cereb Cortex 24:785-806 [Journal] [PubMed]
   A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]
Richmond P, Buesing L, Giugliano M, Vasilaki E (2011) Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PLoS One 6:e18539 [Journal] [PubMed]
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