thermodynamic-brain-connectivity

name	thermodynamic-brain-connectivity
version	2.0.0
description	Thermodynamic framework for analyzing multiplex neural connectomes, linking synaptic and neuropeptidergic signaling layers. Applied to the complete C. elegans connectome to reveal functional specialization and hierarchical organization through energy-based connectivity analysis.
paper	arXiv:2604.02057
date	2026-04
author	Research Synthesis
license	MIT
metadata	{"hermes":{"tags":["thermodynamic connectivity","brain networks","extrasynaptic signaling","multiplex organization","functional specialization","C. elegans","neuropeptidergic","hierarchical organization"],"source_paper":"Thermodynamic connectivity reveals functional specialization and multiplex organization of extrasynaptic signaling (arXiv:2604.02057v1)","published":"2026-04-02","category":"ai_collection"}}
triggers	["thermodynamic connectivity","multiplex connectome","C. elegans connectome","neuropeptidergic signaling","synaptic and extrasynaptic","hierarchical brain organization","functional specialization connectome","energy-based neural communication"]

Thermodynamic Connectivity in C. elegans

Overview

This skill covers the thermodynamic framework introduced in "Thermodynamic Connectivity Reveals Functional Specialization and Hierarchical Organization in C. elegans" (arXiv:2604.02057, April 2026). The paper presents a unified multiplex network framework that treats the nervous system as a layered communication system where distinct signaling modalities — fast synaptic transmission and slow extrasynaptic (neuropeptidergic) signaling — jointly organize brain function. By applying thermodynamic and energy-based analysis to the complete C. elegans connectome, the authors reveal how these dual layers produce functional specialization and hierarchical organization that neither layer alone can explain.

Core Thesis

Neural communication is not monolithic. The brain (even in C. elegans) employs multiple signaling channels operating at different timescales. A thermodynamic perspective — analyzing energy flows, entropy production, and equilibrium states across these multiplex networks — can reveal organizational principles invisible to single-layer connectivity analysis.

Activation Keywords

• thermodynamic connectivity
• brain networks
• extrasynaptic signaling
• multiplex organization
• functional specialization

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Multiplex Connectome Framework

Two-Layer Architecture

The framework models the connectome as a multiplex network with at least two distinct layers:

1. Synaptic (Electrical/Chemical) Layer — Fast, point-to-point transmission via gap junctions and chemical synapses. Characterized by:

   • Millisecond-scale signaling
   • Precise spatial targeting (pre→post synaptic pairs)
   • Well-characterized in connectomics (electron microscopy)
   • Directed or undirected edges with conductance weights

2. Neuropeptidergic (Extrasynaptic) Layer — Slow, diffuse volumetric transmission via neuropeptides. Characterized by:

   • Seconds-to-minutes timescale signaling
   • Diffuse, non-synaptic volume transmission
   • Receptor-mediated effects spanning larger spatial domains
   • Modulatory rather than directly excitatory/inhibitory

Four Communication Regimes

The multiplex structure yields four distinct communication regimes:

Regime	Synaptic Activity	Extrasynaptic Activity