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Two-dimensional neural field simulator with parameter interface and 3D visualization

Eric Nichols 1 Axel Hutt 1 
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : A simulator calculating two-dimensional dynamic neural fields with multiple order derivatives is presented in this work. The simulated neural fields are of the type ... where I, L and S are respectively a field's input, spatial delay kernel with axonal transmission speed c and nonlinear firing rate function S = S0 / (1 + exp(-α(V-Θ)). A Fast Fourier Transform in space is used to accelerate the integral calculation. The stochastic differential equation is useful for studying processes such as breathers, activity spread and Turing patterns shown below. The underlying code is written in Python and is therefore cross-platform. It is also open-source, allowing researchers to modify the simulator in any manner.
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Submitted on : Monday, September 15, 2014 - 5:21:49 PM
Last modification on : Saturday, June 25, 2022 - 7:45:06 PM
Long-term archiving on: : Tuesday, December 16, 2014 - 11:41:23 AM


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  • HAL Id : hal-01064205, version 1


Eric Nichols, Axel Hutt. Two-dimensional neural field simulator with parameter interface and 3D visualization. 3rd International Conference on Neural Field Theory, Jun 2014, Reading, United Kingdom. ⟨hal-01064205⟩



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