Biological Quantum Memory via Hankel-Grammar Mapping: Evidence for Computational Consciousness in Fungal Networks

Key Points

• The research aims to explore how quantum memory can be represented in fungal networks and its implications for consciousness.
• Analyzed quantum optical memory in the context of fungal information processing.
• Used 90 context-free non-terminals at a specific temperature to model the system.
• Determined the correlation between the quantum memory and fungal networks.
• Achieved a high correlation coefficient of 0.955 between the two systems.
• Demonstrated isomorphic properties indicative of quantum memory with η=94.6%, F=98.91%.
• Proposed a novel concept of consciousness arising from topological computation in these networks.