The Twin Cognitive Cycle: A Unified Framework to Explore the Subjectivity of Consciousness, Excessive Neural Activations found in NCC Research, and the Free Will Debate

13 June 2026, Version 3
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This study introduces a unified framework for addressing several open questions concerning consciousness, including subjectivity and awareness, the confounding findings of neural correlates of consciousness (NCC) research, and the phenomenon of delayed consciousness observed in Libet’s free-will experiments. The framework, named the Twin Cognitive Cycle (TCC), is derived from an executable system capable of learning from experience and generating semantic reports in response to external inputs. In the TCC model, consciousness emerges from the unique pattern of a global activation. The number of possible patterns arises from the combination of a constrained macro-distribution of common features and an unconstrained exponential micro-state space spanning the underlying modality space. Because both operate continuously, every conscious state is inherently unique and therefore subjective. A TCC may involve a sequence of five staged activations across four cognitive regions, with the activation intensity and the regions involved varying depending on the applied constraints. The former aligns well with the multi-peaked ERP waveforms observed in NCC studies, while the latter is consistent with fMRI findings from no-report paradigms. In the TCC model, consciousness influences decision-making only in the subsequent TCC, suggesting that interpretations of Libet’s experiments are flawed if the causal effects on later decision-making are not explored. In other words, delayed consciousness does not constitute evidence either for or against free will.

Keywords

consciousness
neural correlates of consciousness
the hard problem of consciousness
free will
computational system
subjectivity
brain modeling
cognitive cycle
neurorecording
ERP
fMRI
RP
awareness
recurrent loop

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