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A neural field model using advanced anatomical connectivity information
© Koch et al; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
We propose a mathematical framework for a neural field model that can accommodate empirical information on connectivity strength between different parts of the brain, and axonal caliber information of these connections. Furthermore, we use integro-differential equations to describe the mean dynamics (i.e., firing rate and mean membrane potential) . We demonstrate the framework at the example of the rat brain.
- Atay F, Hutt A: Stability and bifurcations in neural fields with finite propagation speed and general connectivity. SIAM J. Appl. Math. 2005, 65 (2): 644-666. 10.1137/S0036139903430884.View ArticleGoogle Scholar
- Partadiredja G, Miller R, Oorschot DE: The number, size, and type of axons in rat subcortical white matter on left and right sides: A stereological, ultrastructural study. Journal of Neurocytology. 2003, 32: 1165-1179. 10.1023/B:NEUR.0000021910.65920.41.View ArticlePubMedGoogle Scholar
- Paxinos G, Watson C: The Rat Brain in Stereotaxic Coordinates. 2007, San Diego, Academic Pres, 6Google Scholar
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