2008
DOI: 10.1063/1.2990948
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Stability of Bumps in a Two Population Neural Field Model

Abstract: a b s t r a c tNeural-field models describing the spatio-temporal dynamics of the average neural activity are frequently formulated in terms of partial differential equations, Volterra equations or integro-differential equations. We develop a stability analysis for spatially symmetric bumps in a two-population neural-field model of Volterra form for a large class of temporal kernels. We find that the corresponding Evans matrix can be block-diagonalized, where one block corresponds to the symmetric part of the … Show more

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Cited by 1 publication
(3 citation statements)
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“…We conjecture that the existence and stability results hold for steep sigmoid like functions f , see (1.6). To prove this conjecture we plan to proceed in the way similar to [10] and [23]. It is not possible to apply the results from the mentioned papers directly here since the eigenvalue λ = 1 of H (u p ) is not isolated.…”
Section: Discussionmentioning
confidence: 99%
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“…We conjecture that the existence and stability results hold for steep sigmoid like functions f , see (1.6). To prove this conjecture we plan to proceed in the way similar to [10] and [23]. It is not possible to apply the results from the mentioned papers directly here since the eigenvalue λ = 1 of H (u p ) is not isolated.…”
Section: Discussionmentioning
confidence: 99%
“…The first condition, however, is never satisfied. Thus one must employ more detailed analysis of spectral convergence than in the case of bump solutions [23]. However, this is out of the scope of this paper.…”
Section: Stability Of 1-bump Periodic Solutionsmentioning
confidence: 99%
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