title: Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed.
abstract: Neural Field models (NFM) play an important role in the understanding of neural population dynamics on a mesoscopic spatial and temporal scale. Their numerical simulation is an essential element in the analysis of their spatio-temporal dynamics. The simulation tool described in this work considers scalar spatially homogeneous neural fields taking into account a 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 hindrance compared to simulators that are exclusively software-based. Diverse applications of the tool demonstrate breather oscillations, static and dynamic Turing patterns and activity spreading with finite propagation speed. The simulator is open source to allow tailoring of code and this is presented with an extension use case.
authors.affiliation: Team Neurosys, Loria, Centre National de la Recherche Scientifique, INRIA, UMR no. 7503, Université de Lorraine Nancy, France.
authors.forename: Eric J
authors.initials: EJ
authors.lastname: Nichols
authors.affiliation: Team Neurosys, Loria, Centre National de la Recherche Scientifique, INRIA, UMR no. 7503, Université de Lorraine Nancy, France.
authors.forename: Axel
authors.initials: A
authors.lastname: Hutt
keywords: delay; neural field; numerical simulation; pattern formation