The Multi-Circuit Theory of Consciousness: A Testable, Integrative Framework (Preprint)

The Multi-Circuit Theory of Consciousness provides an empirically testable and integrative framework that views consciousness as emerging from dynamic interactions among five hierarchical neural circuits: Sensory, Perceptual, Cognitive, Emotional, and Reflective. By synthesizing and extending Integrated Information Theory (IIT) and Global Workspace Theory (GWT), this model offers clear, quantifiable biomarkers and falsifiable hypotheses for empirical validation. The theory has practical implications for developing advanced AI architectures, enhancing clinical diagnostics, and refining therapeutic interventions for disorders of consciousness. Key highlights include proposed experimental validations using high-resolution neuroimaging, transcranial magnetic stimulation (TMS), computational simulations, and cross-species comparative analyses. This document outlines the theory comprehensively, including its conceptual foundations, testable predictions, illustrative scenarios for clinical application, and strategies for addressing theoretical and methodological limitations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-07
DOI
https://doi.org/10.5281/zenodo.16756191
Primary Topic
TGF-β signaling in diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Multi-Circuit Theory of Consciousness: A Testable, Integrative Framework (Preprint)

Zenodo (CERN European Organization for Nuclear Research)
TGF-β signaling in diseases
article

The Multi-Circuit Theory of Consciousness: A Testable, Integrative Framework (Preprint)

article en

Abstract

The Multi-Circuit Theory of Consciousness provides an empirically testable and integrative framework that views consciousness as emerging from dynamic interactions among five hierarchical neural circuits: Sensory, Perceptual, Cognitive, Emotional, and Reflective. By synthesizing and extending Integrated Information Theory (IIT) and Global Workspace Theory (GWT), this model offers clear, quantifiable biomarkers and falsifiable hypotheses for empirical validation. The theory has practical implications for developing advanced AI architectures, enhancing clinical diagnostics, and refining therapeutic interventions for disorders of consciousness. Key highlights include proposed experimental validations using high-resolution neuroimaging, transcranial magnetic stimulation (TMS), computational simulations, and cross-species comparative analyses. This document outlines the theory comprehensively, including its conceptual foundations, testable predictions, illustrative scenarios for clinical application, and strategies for addressing theoretical and methodological limitations.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 55%
TGF-β signaling in diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Multi-Circuit Theory of Consciousness: A Testable, Integrative Framework (Preprint) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS