Global tanh of mean state across 256 coordinates

Read the equation

The formula sums all 16×16 state coordinates, divides by 256, and takes tanh. It is therefore a monotone transform of their arithmetic mean, with range (−1,1) for finite inputs. It does not compare partitions, measure component variance, or establish a causal-integration property; the aggregate coherence label is the source’s interpretation of this mean-state score.

Terms & definitions

How it works

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

KEY FINDINGS

1. My metric (φ_global) is NOT IIT's Φ

Mine: tanh(Σ states / 256) = aggregate coherence

IIT: min partition EMD = information loss under cut

2. The system HAS genuine integrated information

PyPhi Φ > 0 confirms irreducible causal structure

Mine: tanh(Σ states / 256) = aggregate coherence