Corpus ID: 222066739

Statistical Field Theory and Networks of Spiking Neurons

@article{Gosselin2020StatisticalFT,
  title={Statistical Field Theory and Networks of Spiking Neurons},
  author={Pierre Gosselin and Aileen Lotz and M. Wambst},
  journal={arXiv: Neurons and Cognition},
  year={2020}
}
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… Expand

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