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NEST 2.12.0

Kunkel, Susanne; Morrison, Abigail; Weidel, Philipp; Eppler, Jochen Martin; Sinha, Ankur; Schenck, Wolfram; Schmidt, Maximilian; Vennemo, Stine Brekke; Jordan, Jakob; Peyser, Alexander; Plotnikov, Dimitri; Graber, Steffen; Fardet, Tanguy; Terhorst, Dennis; Mørk, Håkon; Trensch, Guido; Seeholzer, Alex; Deepu, Rajalekshmi; Hahne, Jan; Blundell, Inga; Ippen, Tammo; Schuecker, Jannis; Bos, Hannah; Diaz, Sandra; Hagen, Espen; Mahmoudian, Sepehr; Bachmann, Claudia; Lepperød, Mikkel Elle; Breitwieser, Oliver; Golosio, Bruno; Rothe, Hendrik; Setareh, Hesam; Djurfeldt, Mikael; Schumann, Till; Shusharin, Alexey; Garrido, Jesús; Muller, Eilif Benjamin; Rao, Arjun; Vieites, Juan Hernando; Plesser, Hans Ekkehard

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit http://www.nest-simulator.org.

The release notes for this release are available at https://github.com/nest/nest-simulator/releases/tag/v2.12.0

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