The NEST Initiative Association

Diesmann M., Gewaltig M.-O. and Aertsen A. (1995) SYNOD: an Environment for Neural Systems Simulations. Language Interface and Tutorial. Weizmann Institute of Science, technical report(GC-AA-/95-3) (article)
Diesmann M and Gewaltig MO (2001) [NEST: An Environment for Neural Systems Simulations. ] Forschung und wisschenschaftliches Rechnen, Beiträge zum Heinz-Billing-Preis(58):43-70 (article) [url]
Gewaltig MO, Richter A and Kupper R (2002) BLISS: towards the simulation of brain-like systems. Neurocomputing(44-46):805–810 (article) [doi]
Morrison A, Mehring C, Geisel T, Aertsen A. D. and Diesmann M (2005) [Advancing the boundaries of high-connectivity network simulation with distributed computing. ] Neural Comput(17):1776–1801 (article) [url] [doi]
Gewaltig MO and Diesmann M (2007) NEST:NEural Simulation Tool. Scholarpedia(2):1430 (article) [file]
Morrison A, Straube S, Plesser HE and Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. MIT Press Neural computation(19):47–79 (article) [doi]
Eppler JM, Helias M, Muller E, Diesmann M and Gewaltig MO (2008) PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform(2):12 (article) [doi]
Morrison A and Diesmann M (2008) [Maintaining causality in discrete time neuronal network simulations. ] Springer-Verlag Berlin and Heidelberg GmbH & Co. KG:267-278 (article) [url] [doi]
Eppler J (2009) [A Python interface to NEST. ] The Neuromorphic Engineer (article) [pdf] [doi]
Hanuschkin A, Kunkel S, Helias M, Morrison A and Diesmann M (2010) A general and efficient method for incorporating precise spike times in globally time-driven simulations. Frontiers Research Foundation Frontiers in Neuroinformatics(4):113 (article) [doi]
Potjans W, Morrison A and Diesmann M (2010) Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity. Front Comput Neurosci(4):141 (article) [doi]
Helias M, Kunkel S, Masumoto G, Igarashi J, Eppler JM, Ishii S, Fukai T, Morrison A and Diesmann M (2012) Supercomputers ready for use as discovery machines for neuroscience. Front Neuroinform(6):26 (article) [doi]
Kunkel S, Potjans TC, Eppler JM, Plesser HE, Morrison A and Diesmann M (2012) Meeting the memory challenges of brain-scale network simulation. Front Neuroinform(5):35 (article) [doi]
Kunkel S, Schmidt M, Eppler JM, Plesser HE, Masumoto G, Igarashi J, Ishii S, Fukai T, Morrison A, Diesmann M and Helias M (2014) Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics(8) (article) [doi]
Djurfeldt M, Davison AP. and Eppler JM. (2014) [Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. ] Front Neuroinform(8):43 (article) [url] [doi]
Zaytsev YV. and Morrison A (2014) CyNEST: a maintainable Cython-based interface for the NEST simulator. Frontiers in Neuroinformatics(8):23 (article) [doi]
Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A and Diesmann M (2015) A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers in Neuroinformatics(9):22 (article) [doi]
Hahne J, Dahmen D, Schuecker J, Frommer A, Bolten M, Helias M and Diesmann M (2017) [Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. ] Frontiers in Neuroinformatics(11):34 (article) [url] [doi]
Kunkel S and Schenck W (2017) [The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. ] Frontiers in Neuroinformatics(11):40 (article) [url] [doi]
Ippen T, Eppler JM., Plesser HE and Diesmann M (2017) [Constructing neuronal network models in massively parallel environments. ] Front. Neuroinform.(11):30 (article) [url] [doi]
Schwalger T, Deger M and Gerstner W (2017) [Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. ] Public Library of Science PLOS Computational Biology(13):1-63 (article) [url] [doi]
Jordan J, Ippen T, Helias M, Kitayama I, Sato M, Igarashi J, Diesmann M and Kunkel S (2018) [Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. ] Frontiers in Neuroinformatics(12):2 (article) [url] [doi]
Blundell I, Brette R, Cleland TA., Close TG., Coca D, Davison AP., Diaz-Pier S, Fernandez Musoles C, Gleeson P, Goodman DF. M., Hines M, Hopkins MW., Kumbhar P, Lester DR., Marin B, Morrison A, Müller E, Nowotny T, Peyser A, Plotnikov D, Richmond P, Rowley A, Rumpe B, Stimberg M, Stokes AB., Tomkins A, Trensch G, Woodman M and Eppler JM (2018) [Code Generation in Computational Neuroscience: A Review of Tools and Techniques. ] Frontiers in Neuroinformatics(12):68 (article) [url] [doi]
Krishnan J, Porta Mana P, Helias M, Diesmann M and Di Napoli E (2018) [Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. ] Frontiers in Neuroinformatics(11):75 (article) [url] [doi]
Blundell I, Plotnikov D, Eppler JM. and Morrison A (2018) [Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models. ] Frontiers Media SA Frontiers in Neuroinformatics(12):50 (article) [url] [doi]
Jordan J, Helias M, Diesmann M and Kunkel S (2020) [Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. ] Frontiers Media SA Frontiers in Neuroinformatics(14):12 (article) [url] [doi]
Spreizer S, Senk J, Rotter S, Diesmann M and Weyers B (2021) [NEST Desktop, an Educational Application for Neuroscience. ] eNeuro(8):eneuro.0274-21.2021 (article) [url] [doi]
Stapmanns J, Hahne J, Helias M, Bolten M, Diesmann M and Dahmen D (2021) [Event-Based Update of Synapses in Voltage-Based Learning Rules. ] Frontiers Media SA Frontiers in Neuroinformatics(15):609147 (article) [url] [doi]
Feldotto B, Eppler JM, Jimenez-Romero C, Bignamini C, Gutierrez CE, Albanese U, Retamino E, Vorobev V, Zolfaghari V, Upton A, Sun Z, Yamaura H, Heidarinejad M, Klijn W, Morrison A, Cruz F, McMurtrie C, Knoll AC., Igarashi J, Yamazaki T, Doya K and Morin FO. (2022) [Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. ] Frontiers in Neuroinformatics(16):884180 (article) [url] [doi]
Kurth AC, Senk J, Terhorst D, Finnerty J and Diesmann M (2022) [Sub-realtime simulation of a neuronal network of natural density. ] Neuromorphic Computing and Engineering(2):021001 (article) [url] [doi]
Pronold J., Jordan J., Wylie B.J.N., Kitayama I., Diesmann M. and Kunkel S. (2022) [Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. ] Parallel Computing(113):102952 (article) [url] [doi]
Pronold J, Jordan J, Wylie BJ. N., Kitayama I, Diesmann M and Kunkel S (2022) [Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring. ] Frontiers in Neuroinformatics(15):785068 (article) [url] [doi]
Tiddia G, Golosio B, Albers J, Senk J, Simula F, Pronold J, Fanti V, Pastorelli E, Paolucci PS and van Albada SJ. (2022) [Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster. ] Frontiers in Neuroinformatics(16):883333 (article) [url] [doi]
Senk J, Kriener B, Djurfeldt M, Voges N, Jiang HJ, Schüttler L, Gramelsberger G, Diesmann M, Plesser HE. and Albada SJ. van (2022) [Connectivity concepts in neuronal network modeling. ] Public Library of Science (PLoS) PLOS Computational Biology(18):e1010086 (article) [url] [doi]
Golosio B, Villamar J, Tiddia G, Pastorelli E, Stapmanns J, Fanti V, Paolucci PS, Morrison A and Senk J (2023) [Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices. ] MDPI AG Applied Sciences(13):9598 (article) [url] [doi]
Plesser HE (2024) [Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. ] Frontiers Media SA Frontiers in Neuroinformatics(18) (article) [url] [doi]