|
Table S6. Component placement optimization: results
summary. "Estimated Rank" designates proportion of all
possible alternative layouts that are of lower connection-cost than
the actual layout. Each layout is scored for violations of
the Adjacency Rule. Size Law goodness of fit r2
is for a model of the form of an inverse exponential function y
= ke-mx.
|
|||
Number of
|
Estimated Rank |
Size Law r2 |
|
|
|||
Neural Networks |
|||
Caenorhabditis elegans |
11 |
4.0 10-7 | 0.99 |
Macaque Visual Cortex |
17 |
1.2 10-7 | 0.91 |
Cat Visual Cortex |
15 |
7.2 10-6 | 0.94 |
Cat Cortex Metamodules |
14 |
1.1 10-7 | 0.97 |
Cat Cortex: | |||
Vis, Aud, Somato |
39 |
[(3x) 1011]* | --- |
|
|||
AMI49 Microchip |
|||
Esbenson & Kuh Layout |
15 |
7.0 10-2 | 0.77 |
Hong et al Layout |
15 |
3.3 10-1 | 0.69 |
Lin & Chang Layout |
15 |
1.5 10-3 | 0.78 |
Macroeconomic Networks | |||
USA Commodity-Flow |
15 |
--- | --- |
Europe Ex/Im |
8 |
4.0 10-4 | --- |
|
*In each of 3 separate replications,
100 billion randomly sampled layouts were tested without finding a
better layout than the actual one.
Table S7. Connections vs adjacencies among network components: 2 x 2 contingency tables. For each neural system, the relationship is highly significant: p < 0.0001; r > 0.30. Connections and adjacencies to immediately contiguous edge-components are included. (Number of core components is given in parentheses.)
Cortex Networks | |||||
Macaque Visual Cortex (17) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 38 | 82 | 120 | 30.6433 | 0.30801 |
NotCon | 16 | 187 | 203 | ||
Total | 54 | 269 | 323 | ||
Cat Visual Cortex (15) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 40 | 86 | 126 | 40.0761 | 0.365496 |
NotCon | 8 | 166 | 174 | ||
Total | 48 | 252 | 300 | ||
Cat Metamodules (14) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 44 | 90 | 134 | 37.09234 | 0.368605 |
NotCon | 6 | 133 | 139 | ||
Total | 50 | 223 | 273 | ||
Cat Vis/Aud/Som Cortex (39) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 101 | 350 | 451 | 143.0408 | 0.333381 |
NotCon | 18 | 818 | 836 | ||
Total | 119 | 1168 | 1287 | ||
Non-Neural Networks |
|||||
AMI49 Microchip |
|||||
Esbensen & Kuh Layout (15) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 17 | 95 | 112 | 0.62703 | 0.0409 |
NotCon | 32 | 231 | 263 | ||
Total | 49 | 326 | 375 | ||
Hong et al Layout (15) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 14 | 86 | 100 | 0.00072 | 0.0016 |
NoCon | 24 | 146 | 170 | ||
Total | 38 | 232 | 270 | ||
Lin & Chang Layout (15) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 19 | 84 | 103 | 6.62842 | 0.1451 |
NotCon | 18 | 194 | 212 | ||
Total | 37 | 278 | 315 | ||
Macroeconomic Networks |
|||||
USA Commodity-Flow (15) (@1500) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 47 | 137 | 184 | 29.4310924 | 0.274708 |
NotCon | 12 | 194 | 206 | ||
Total | 59 | 331 | 390 | ||
Europe Ex/Im (8) (@1250) |
|||||
Adj | NotAdj | Total | X2 | r | |
Con | 23 | 36 | 59 | 8.06358 | 0.3098 |
NotCon | 2 | 23 | 25 | ||
Total | 25 | 59 | 84 |
Copyright Christopher Cherniak (2002)
Last Modified 11/19/2002