NANANov 2, 2015

Numerical Simulations in Two-Dimensional Neural Fields

arXiv:1511.00717h-index: 23
Originality Synthesis-oriented
AI Analysis

For researchers in computational neuroscience, this is an incremental validation of an existing method on known benchmarks.

The paper tests a numerical algorithm for solving two-dimensional neural field equations with delay, comparing results with prior work to validate performance and analyze solution properties.

In the present paper we are concerned with a numerical algorithm for the approximation of the two-dimensional neural field equation with delay. We consider three numerical examples that have been analysed before by other authors and are directly connected with real world applications. The main purposes are 1) to test the performance of the mentioned algorithm, by comparing the numerical results with those obtained by other authors; 2) to analyse with more detail the properties of the solutions and take conclusions about their physical meaning.

Foundations

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