VCML Paper 122: The Ungated Nervous System -- Epilepsy as Gate Failure, Personality Instability as Boundary Dynamics, and the Wrong Clinical Label

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Authors: Gabriel Aubin-Moreau
Cited by: 0

Abstract

Epilepsy is standardly described as a disorder of seizure threshold. We argue the correct description is gate failure: the inhibitory interneuron network that implements the Heaviside threshold function of the nervous system is unreliable. Seizures are the most visible consequence but not the only one. The same inhibitory architecture that prevents runaway excitatory cascades also implements emotional regulation, impulse control, timescale separation, and identity coherence across time. When it is unreliable, all of these functions are affected continuously between seizures. The literature has repeatedly observed personality and behavioral correlates of epilepsy, classified them as inconclusive, and removed them from clinical frameworks. We argue this is a measurement error: trait-based personality inventories measure content averages and miss gate dynamics entirely. A person oscillating between hyper-social and withdrawn has a normal mean extraversion score. The gate failure is invisible to the instrument. The correct measurement is a stability metric: Binder cumulant on personality dimensions across timescales. Gate failure produces scale-dependent drift; functional gating produces universal crossing. Clinical prediction: epilepsy patients will show significantly lower Binder stability on personality dimensions than controls matched for trait means. The correct label is not hypersensitive (implies too much feeling, fix = feel less) but ungated (implies missing threshold, fix = install the gate). The distinction changes the therapeutic target entirely. You are not trying to become less. You are trying to build what was not reliably there.

Fields of Study & Subjects

Epilepsy research and treatment Neural dynamics and brain function Neuroscience and Neuropharmacology Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 March 2026
Language
EN
Document type
Preprint