van Meegen, Alexander ORCID: 0000-0003-2766-3982, Kuehn, Tobias and Helias, Moritz
ORCID: 0000-0002-0404-8656
(2021).
Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions.
Phys. Rev. Lett., 127 (15).
COLLEGE PK:
AMER PHYSICAL SOC.
ISSN 1079-7114
Abstract
We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and derive the latter using field theory. This rate function takes the form of a Kullback-Leibler divergence which enables data-driven inference of model parameters and calculation of fluctuations beyond mean-field theory. Lastly, we expose a regime with fluctuation-induced transitions between mean-field solutions.
Item Type: | Journal Article | ||||||||||||||||
Creators: |
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URN: | urn:nbn:de:hbz:38-595661 | ||||||||||||||||
DOI: | 10.1103/PhysRevLett.127.158302 | ||||||||||||||||
Journal or Publication Title: | Phys. Rev. Lett. | ||||||||||||||||
Volume: | 127 | ||||||||||||||||
Number: | 15 | ||||||||||||||||
Date: | 2021 | ||||||||||||||||
Publisher: | AMER PHYSICAL SOC | ||||||||||||||||
Place of Publication: | COLLEGE PK | ||||||||||||||||
ISSN: | 1079-7114 | ||||||||||||||||
Language: | English | ||||||||||||||||
Faculty: | Unspecified | ||||||||||||||||
Divisions: | Unspecified | ||||||||||||||||
Subjects: | no entry | ||||||||||||||||
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URI: | http://kups.ub.uni-koeln.de/id/eprint/59566 |
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