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.
Simulation Environment: Python; Neural Field Simulator
Implementer(s): Nichols, Eric J [ericjnichols at gmail.com]; Hutt, Axel [axel.hutt @ inria.fr]
References:
Green K, Hutt A, Nichols E. (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..
Green K, Hutt A, Nichols E, van Veen L. (2014). Two-dimensional patterns in neural fields subject to finite transmission speed BMC Neuroscience. 15(1)
Hutt A, Nichols E. (2014). Two-dimensional neural field simulator with parameter interface and 3D visualization International Conference on Neural Field Theory, Reading, U.K..
Nichols E. (2013). Neural field simulator: fast computation and 3D-visualization BMC Neuroscience. 14(1)
Nichols EJ, Hutt A. (2015). Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed. Frontiers in neuroinformatics. 9 [PubMed]