Statistical Field Theory and Neural Structures Dynamics III: Effective Action for Connectivities, Interactions and Emerging Collective States
Biological Physics
2023-12-01 v1 Statistical Mechanics
Neurons and Cognition
Abstract
This paper elaborates on the effective field theory for the connectivity field previously introduced in ([7]). We demonstrate that dynamic interactions among connectivities induce modifications in the background state. These modifications can be understood as the emergence of interacting collective states above the background state. The emergence of such states is contingent on both interactions and the shape of the static or quasi-static background, which acts as a conditioning factor for potential emerging states.
Keywords
Cite
@article{arxiv.2311.18414,
title = {Statistical Field Theory and Neural Structures Dynamics III: Effective Action for Connectivities, Interactions and Emerging Collective States},
author = {Pierre Gosselin and Aïleen Lotz},
journal= {arXiv preprint arXiv:2311.18414},
year = {2023}
}