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The Neuroscience Chronicles
ISSN: 2767-3405
Mathematical proof of the equivalence between the HLbC model of consciousness and Bayesian inference in neural information processing
This paper presents a mathematical proof of the equivalence between the Human Language-based Consciousness (HLbC) model and Bayesian inference, exploring their connection within neural information processing. The HLbC model posits that consciousness emerges through a process involving the observation of external events, the matching of those events to past memories, unconscious action selection, and post-hoc recognition of actions as conscious decisions.
Neurosci Chron, 2025, Volume 5, Issue 1, p1-8 | DOI: 10.46439/Neuroscience.5.026
A comprehensive metric for consciousness strength: Integrating real-time responsiveness and long-term learning based on the HLbC model
This paper presents a novel framework for measuring consciousness strength based on the Human Language-based Consciousness (HLbC) model. While Integrated Information Theory (IIT) quantifies consciousness via integrated information, the HLbC model views consciousness as a post-hoc process, emphasizing language and probabilistic decision-making.
Neurosci Chron, 2025, Volume 5, Issue 1, p9-15 | DOI: 10.46439/Neuroscience.5.027