Integrative Model for Interoception and Exteroception: predictive coding, points of modulation, and testable predictions
Pranjal Balar, Sundeep Kapila

TL;DR
This paper presents a unified predictive coding model integrating interoception and exteroception, validated through simulations and EEG-fMRI data, explaining their interaction and dysregulation in anxiety and PTSD.
Contribution
It develops and empirically validates a novel integrative predictive coding framework for interoception and exteroception, highlighting neural mechanisms and clinical implications.
Findings
Simulation results show stable convergence of prediction errors.
Anxiety and PTSD profiles exhibit imbalanced precision weights.
Empirical EEG-fMRI data support the model's predictions.
Abstract
Interoception and exteroception provide continuous feedback about the body and the environment, yet how they are dynamically integrated within a unified predictive coding framework has remained under-specified. This paper develops and empirically validates an integrative predictive coding model that treats interoceptive and exteroceptive inference as parallel hierarchical systems exchanging precision-weighted prediction errors. Within this framework, arbitration between the two streams is governed by relative precision weights (w) and integrated within the anterior insula (AIC) and anterior cingulate cortex (ACC). Computational simulations of the model reproduced biologically plausible dynamics: prediction errors decayed exponentially while arbitration weights self-normalized toward equilibrium (w = 0.5), demonstrating stable convergence and coherent integration. Simulated anxiety and…
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Taxonomy
TopicsPsychosomatic Disorders and Their Treatments · Traumatic Brain Injury Research · Functional Brain Connectivity Studies
