The science behind coherence adapters. Our work defines how to measure and improve cognitive coherence in large language models.
Jamaludheen K N · AI Mind Engine · 2026
A unified framework for measuring cognition in human EEG and large language models. Validates that the same 13-function cognitive model applies to both biological and artificial networks. Seven of 13 functions show same-direction effects across substrates.
Jamaludheen K N · AI Mind Engine · 2026
How coherence-based training transforms open-source LLMs from benchmark performers into domain-ready production systems. Demonstrates +39pp coherence gains across 6 financial services domains and validates the two-layer adapter architecture.
The Level of Consciousness (LOC) framework defines 13 cognitive functions—8 base and 5 compound—measurable in both transformer layer activations and human EEG frequency-domain power. It provides the first unified measurement system for biological and artificial minds, and the scientific foundation for our coherence adapter training.
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