The Coherent-Information Fraction: A Substrate-Agnostic Metric of Cognitive Capacity Grounded in Population-Code Mutual Information

Key Points

• This research aims to establish the Coherent Information Fraction as a reliable metric for measuring cognitive capacity.
• Developed a computational proof of concept for Coherent Information Fraction (K).
• Utilized population-code mutual information as a foundation for the metric.
• Demonstrated the feasibility of K in quantifying cognitive capacity across different substrates.
• Confirmed its substrate-agnostic nature, making it broadly applicable.