ArticleFrontiers in neuroinformatics2015
Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed.
Article in Frontiers in neuroinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Numerical simulations of one- and two-dimensional stochastic neural field equations with delay.Journal of computational neuroscience · 2022Article
- NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics.PLoS computational biology · 2018Article
- Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.Frontiers in neuroinformatics · 2017Article
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Authors and funding
2 authors.
Funding
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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.
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