Neural Field Simulator (Nichols & Hutt 2012-2015)

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The NeuralFieldSimulator considers scalar spatially homogeneous neural fields taking into account finite axonal transmission speed and synaptic temporal derivatives of first and second order. A text-based interface offers complete control of field parameters and several approaches are used to accelerate simulations. A graphical output utilizes video hardware acceleration to display running output with reduced computational cost compared to exclusively software-based simulators. Diverse applications of simulations include breather oscillations, static and dynamic Turing patterns and activity spreading with finite propagation speed.
1 . Nichols E, Green K, Hutt A (2015) Open-source numerical simulation tool for two-dimensional neural fields involving finite axonal transmission speed International Conference on Mathematical NeuroScience Antibes Juan-les-Pins, France. June 2015.
2 . Nichols E, Green K, Hutt A, van Veen L (2014) Two-dimensional patterns in neural fields subject to finite transmission speed BMC Neuroscience 15(1):16
3 . Nichols E, Hutt A (2014) Two-dimensional neural field simulator with parameter interface and 3D visualization International Conference on Neural Field Theory, Reading, U.K.
4 . Nichols E, Hutt A (2013) Neural field simulator: fast computation and 3D-visualization BMC Neuroscience 14(1):179
5 . Nichols EJ, Hutt A (2015) Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed. Front Neuroinform 9:25 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Simulation Environment: Python; Neural Field Simulator;
Model Concept(s):
Implementer(s): Nichols, Eric J [ericjnichols at]; Hutt, Axel [axel.hutt @];
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