Perspectival Uniqueness, the Individuation of Consciousness, and the Vertiginous ‘Why Am I Me?’

Authors

10.5281/zenodo.ADDWILL16

Abstract

This speculative paper develops a novel, interdisciplinary framework for the "Why am I me?" problem. It proposes that a unique phenomenal first-person perspective (PFPP) is not generated de novo by the brain, but is a primitive property that accompanies a single, continuous physical history: a spacetime worldline. Neural processes, particularly those of the hindbrain responsible for timing, prediction, and global coordination, function to stabilize and amplify this already fixed perspective, while cortical networks furnish the variable contents of perception, memory, and thought. The account argues that biological uniqueness is merely statistical and cannot ground the guaranteed exclusivity of first-person ownership. This exclusivity, it is suggested, is more plausibly anchored in the non-overlapping structure of relativistic spacetime itself. The proposal is explicitly conceptual and metaphysically speculative but is framed to yield testable empirical predictions. The loss and recovery of sentience should correlate more strongly with deep coordination systems than with cortical activity, and disruptions of hindbrain timing should specifically impair subjective unity, agency, and self-location. Failure of these predictions would falsify the view's core neural claims.

Keywords:

consciousness, first-person perspective, cerebellum, predictive processing, personal identity

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Author Biography

George Goutos, Independent Researcher

The enigma of consciousness, or sentience, has captivated me since childhood. When it came time for college, I pursued studies in artificial intelligence, and specifically neural networks. At the time, this best addressed both my interest in computers and my fascination with consciousness. In the late 70s, AI was a fledgling discipline under ‘Cybernetics’. I enrolled in a PhD program and spent much time simulating neurons and training networks on a computer with just 16K bytes of memory. In those early years, the objective was to teach a computer to recognize the alphanumeric characters of postal zip codes - with intent to automate letter sorting. Trained on a sample set of characters of various typesets and fonts, the simple simulation optically recognized characters - that were not part of the original training set - with more than 95% accuracy.

However, neural networks craved computing power and large memory which was lacking in those early years. Uncertain of when that power would become available, I ventured into the private sector. I worked as an engineer and IT specialist for IBM and AT&T.  By the time I retired in 2022, four decades after grad school, much had changed. Computing power had become ubiquitous and potent. AI had come of age. The more esoteric interpretations of quantum mechanics had gained credibility. And the study of consciousness had made its way into university programs.

All the important components, it seemed, had converged. So, the time was ripe for me to refocus my efforts on consciousness. The possibility that this mystery might one day be understood was unfathomable to me when I first contemplated it. But today, I’m somewhat more optimistic.

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Published

16.02.2026

How to Cite

Goutos, G. (2026). Perspectival Uniqueness, the Individuation of Consciousness, and the Vertiginous ‘Why Am I Me?’ . Journal of NeuroPhilosophy, 5(1). https://doi.org/10.5281/zenodo.ADDWILL16