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- W4308345575 abstract "This paper models the dynamics of a large set of interacting neurons within the framework of statistical field theory. We use a method initially developed in the context of statistical field theory [44] and later adapted to complex systems in interaction [45][46]. Our model keeps track of individual interacting neurons dynamics but also preserves some of the features and goals of neural field dynamics, such as indexing a large number of neurons by a space variable. Thus, this paper bridges the scale of individual interacting neurons and the macro-scale modelling of neural field theory." @default.
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- W4308345575 date "2020-09-30" @default.
- W4308345575 modified "2023-09-24" @default.
- W4308345575 title "Statistical Field Theory and Networks of Spiking Neurons" @default.
- W4308345575 doi "https://doi.org/10.48550/arxiv.2009.14744" @default.
- W4308345575 hasPublicationYear "2020" @default.
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