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| 001 | 826510 | ||
| 005 | 20240313103124.0 | ||
| 037 | _ | _ | |a FZJ-2017-00733 |
| 100 | 1 | _ | |a Plotnikov, Dimitri |0 P:(DE-Juel1)169429 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Modellierung 2016 |c Karlsruhe |d 2016-03-17 - 2016-03-19 |w Germany |
| 245 | _ | _ | |a NESTML: a modeling language for spiking neurons |
| 260 | _ | _ | |c 2016 |b Gesellschaft für Informatik e.V. (GI) |
| 300 | _ | _ | |a 93-108 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 490 | 0 | _ | |a Lecture Notes in Informatics (LNI) |v P-254 |
| 520 | _ | _ | |a Biological nervous systems exhibit astonishing complexity. Neuroscientists aim to capture this complexityby modeling and simulation of biological processes. Often very complex models are necessaryto depict the processes, which makes it difficult to create these models. Powerful tools arethus necessary, which enable neuroscientists to express models in a comprehensive and concise wayand generate efficient code for digital simulations. Several modeling languages for computationalneuroscience have been proposed [Gl10, Ra11]. However, as these languages seek simulator independencethey typically only support a subset of the features desired by the modeler. In this article,we present the modular and extensible domain specific language NESTML, which provides neurosciencedomain concepts as first-class language constructs and supports domain experts in creatingneuron models for the neural simulation tool NEST. NESTML and a set of example models arepublically available on GitHub. |
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| 700 | 1 | _ | |a Blundell, Inga |0 P:(DE-Juel1)166002 |b 1 |e Corresponding author |
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| 700 | 1 | _ | |a Morrison, Abigail |0 P:(DE-Juel1)151166 |b 5 |
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