Read the equation
Forms a coupling weight from a weighted combination of the two neuron costs; some historical versions also add a coherence-driver contribution. These variants are retained separately because the extra term changes the coupling rule.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read W_{\ell m} as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
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
Read the surrounding source passage
Define a 7×7 coupling matrix among layers:
For layers \ell, m \in \{1,\dots,7\}:
W_{\ell m} = \alpha C_\ell + \beta C_m
This is the layer-to-layer influence: how much the cost state of one layer affects another.
2.4 Routing / gating across layers
Instead of 80 small neurons, you now have 7 macro-neurons.Exact original notation
W_{\ell m} = \alpha C_\ell + \beta C_mRelated builds
Sources & provenance
W_{\ell m} = \alpha C_\ell + \beta C_m