A research agenda is proposed for transcendental meditation, centered on the MEDIT-A model. The model outlines key components and processes involved in the practice, aiming to guide systematic investigation into its mechanisms and effects. The article sets a framework for future empirical studies to explore how transcendental meditation may influence cognition, well-being, and consciousness, without presenting experimental data or findings.
This work presents the Serna Taxonomy T47, a classification system for neural correlates of consciousness. The taxonomy categorizes different states of consciousness based on brain activity patterns, integrating concepts from neuroscience, computer science, and cognitive science. It proposes a framework to map conscious states to specific neural signatures, drawing on functional brain connectivity studies and research on mind wandering and attention. The taxonomy aims to provide a structured approach for understanding the neural basis of conscious experience, linking theoretical constructs from artificial neural networks and machine learning to empirical observations in neuroscience.