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

12 April 2026, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.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 to address several open questions, including (1) the subjectivity of consciousness, i.e., the hard problem of consciousness; (2) the multiple neural activations observed in neural correlates of consciousness (NCC) research; and (3) delayed consciousness in Libet’s famous free will experiments. This framework, namely the Twin Cognitive Cycle (TCC), is based on an executable system that extends previous published work used to simulate the learning functions of dream sleep, developmental amnesia, and the perception–action cycle. By attributing consciousness to the cognitive function that transforms one TCC into another through continuous loops driven by the global activation of a well-established concept, these open questions may be addressed. Subjectivity arises from the infinite possibilities of mental states grounded in the unlimited patterns of global activation. The multiple and seemingly excessive neural activations revealed in both EEG recordings and fMRI neuroimaging reflect a combination of local and global activations within TCC loops. Since consciousness is responsible only for subsequent decisions, it should not be linked to earlier decision-making processes; therefore, delayed consciousness does not constitute evidence either for or against free will. The executable system comprises multiple subsystems, including sensory imaging, episodic memory, semantic memory, information manipulation, and semantic reporting, which have been simulated to support the discussions presented in this study.

Keywords

consciousness
neural correlates of consciousness
Libet’s experiment
the hard problem of consciousness
free will
computational system
learning
problem solving
long term memory

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.