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Projects: pypi: NESTML

https://packages.ecosyste.ms/registries/pypi.org/packages/NESTML

NESTML is a domain specific language that supports the specification of neuron models in a precise and concise syntax, based on the syntax of Python. Model equations can either be given as a simple string of mathematical notation or as an algorithm written in the built-in procedural language. The equations are analyzed by NESTML to compute an exact solution if possible or use an appropriate numeric solver otherwise.
10 versions
Latest release: over 2 years ago
97 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Neural Simulation Technology Initiative (organization)
README Analysis:
Science Score: 75/100
Starting Score: 100 points
Bonuses:
  • +10 Science terms in README
    5 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
Very Likely Science (75)

Papers Mentioning NESTML 10

10.3389/fninf.2018.00068
Code Generation in Computational Neuroscience: A Review of Tools and Techniques
Cited by: 27
Author(s): Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael Hopkins, Pramod Kumbhar, David Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam Tomkins, Guido Trensch, Michael Woodman, Jochen Martin Eppler
Software Mentions: 16
Published: over 7 years ago
10.3389/fninf.2018.00092
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
Cited by: 96
Author(s): Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll
Software Mentions: 12
Published: over 7 years ago
10.7554/eLife.47314
Brian 2, an intuitive and efficient neural simulator
Cited by: 372
Author(s): Marcel Stimberg, Romain Brette, Dan F. M. Goodman
Software Mentions: 10
Published: almost 7 years ago
10.1186/s12868-020-00593-1
29th Annual Computational Neuroscience Meeting: CNS*2020
Cited by: 1
Author(s):
Software Mentions: 9
Published: over 5 years ago
10.3389/fninf.2017.00046
Software for Brain Network Simulations: A Comparative Study
Cited by: 42
Author(s): Ruben A. Tikidji-Hamburyan, Vikram K. Narayana, Zeki Bozkuş, Tarek El‐Ghazawi
Software Mentions: 9
Published: almost 9 years ago
10.3389/fninf.2018.00050
Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models
Cited by: 8
Author(s): Inga Blundell, Dimitri Plotnikov, Jochen Martin Eppler, Abigail Morrison
Software Mentions: 5
Published: over 7 years ago
10.1371/journal.pcbi.1008503
Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions
Cited by: 8
Author(s): Tanguy Fardet, Anna Levina
Software Mentions: 3
Published: over 5 years ago
10.3389/fninf.2021.609147
Event-Based Update of Synapses in Voltage-Based Learning Rules
Cited by: 3
Author(s): Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen
Software Mentions: 3
Published: about 5 years ago
10.3389/fninf.2018.00088
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness
Cited by: 26
Author(s): Alice Geminiani, Claudia Casellato, Francesca Locatelli, Francesca Prestori, Alessandra Pedrocchi, Egidio D’Angelo
Software Mentions: 1
Published: over 7 years ago
10.3389/fphys.2021.716556
Long-Term Desynchronization by Coordinated Reset Stimulation in a Neural Network Model With Synaptic and Structural Plasticity
Cited by: 7
Author(s): Thanos Manos, Sandra Diaz-Pier, Peter A. Tass
Software Mentions: 1
Published: almost 5 years ago