Abstract
This paper studies a nonlinear dynamical phenomenon called the multiple firing event (MFE) in a spatially heterogeneous stochastic neural field model, which is extended from that in our previous paper (Li et al. in J Math Biol 78:83–115, 2018). MFEs are a partially synchronized spiking barrages that are believed to be responsible for the Gamma oscillation. Rigorous results about the stochastic stability and the law of large numbers are proved, which further imply the well-definedness and computability of many quantities related to MFEs. Then we devote to study spatial and temporal properties of MFEs. Our key finding is that MFEs are spatially correlated but the spatial correlation decays quickly. Detailed mathematical justifications are made based on our qualitative models that aim to demonstrate the mechanism of MFEs.
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Yao Li and Hui Xu were partially supported by the University of Massachusetts Amherst FRG/HEG grant. Yao Li is partially supported by NSF DMS-1813246.
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Li, Y., Xu, H. Stochastic neural field model: multiple firing events and correlations. J. Math. Biol. 79, 1169–1204 (2019). https://doi.org/10.1007/s00285-019-01389-6
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DOI: https://doi.org/10.1007/s00285-019-01389-6