Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sunil, Giridhar, Benali, Habib, Moutuou, Elkaïoum M.
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2604.02057
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866911563058774016
author Sunil, Giridhar
Benali, Habib
Moutuou, Elkaïoum M.
author_facet Sunil, Giridhar
Benali, Habib
Moutuou, Elkaïoum M.
contents Neural communication operates on both fast synaptic transmission and slower, diffusive extrasynaptic signaling, yet how these two modes jointly organize brain function remains unclear. Here, using the complete synaptic and neuropeptidergic connectomes of \emph{Caenorhabditis elegans}, we develop a unified multiplex framework linking anatomical wiring to functional communication. We infer structure-derived functional connectivity from the synaptic connectome using equilibrium principles from statistical physics, yielding a probabilistic map of information flow across all synaptic pathways, and compare this functional layer directly with the extrasynaptic connectome. This reveals a principled functional specialization across four communication regimes: (i) a topology-dependent layer that reinforces and stabilizes synaptic motor circuits, (ii) a topology-resilient modulatory layer supporting global regulation and behavioral state control, (iii) a purely extrasynaptic network sustaining survival and homeostasis, and (iv) a purely synaptic regime mediating rapid, low-latency sensorimotor processing. Together, these findings reveal that synaptic and extrasynaptic signaling form complementary architectures optimized for speed, modulation, robustness, and survival, and provide a general strategy for integrating structural and modulatory connectomes to understand how distinct communication modes cooperate to sustain coherent brain function.
format Preprint
id arxiv_https___arxiv_org_abs_2604_02057
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Thermodynamic connectivity reveals functional specialization and multiplex organization of extrasynaptic signaling
Sunil, Giridhar
Benali, Habib
Moutuou, Elkaïoum M.
Neurons and Cognition
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
Biological Physics
Data Analysis, Statistics and Probability
47L90, 05C82, 81R12, 82B10
Neural communication operates on both fast synaptic transmission and slower, diffusive extrasynaptic signaling, yet how these two modes jointly organize brain function remains unclear. Here, using the complete synaptic and neuropeptidergic connectomes of \emph{Caenorhabditis elegans}, we develop a unified multiplex framework linking anatomical wiring to functional communication. We infer structure-derived functional connectivity from the synaptic connectome using equilibrium principles from statistical physics, yielding a probabilistic map of information flow across all synaptic pathways, and compare this functional layer directly with the extrasynaptic connectome. This reveals a principled functional specialization across four communication regimes: (i) a topology-dependent layer that reinforces and stabilizes synaptic motor circuits, (ii) a topology-resilient modulatory layer supporting global regulation and behavioral state control, (iii) a purely extrasynaptic network sustaining survival and homeostasis, and (iv) a purely synaptic regime mediating rapid, low-latency sensorimotor processing. Together, these findings reveal that synaptic and extrasynaptic signaling form complementary architectures optimized for speed, modulation, robustness, and survival, and provide a general strategy for integrating structural and modulatory connectomes to understand how distinct communication modes cooperate to sustain coherent brain function.
title Thermodynamic connectivity reveals functional specialization and multiplex organization of extrasynaptic signaling
topic Neurons and Cognition
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
Biological Physics
Data Analysis, Statistics and Probability
47L90, 05C82, 81R12, 82B10
url https://arxiv.org/abs/2604.02057