Note: The new network with 14 genes is renumbered to close the gap.
__out-degree
/ __gene number 14 to 0 (total 15)
/ / __input genes
/ / / __rule(hex)
/ / ________ /_______ /
1 12: . 4 5 1 7 7063
Nodes are scaled according to
their number of inputs.
showing one pattern in each attractor.
Each basin (large format) in a separate file.
4. 3. 2. 1. 0. rule(hex)
1 14: . . . . 11 02
1 13: . . . 5 0 06
1 12: . 4 5 1 7 7063
3 11: . . 6 4 13 95
2 10: . . . 4 11 06
2 9: . . . . 5 01
1 8: . . . . 6 01
3 7: . . . . 2 02
3 6: . . . 9 7 09
4 5: 2 7 12 3 0 513741da
5 4: . . 10 14 4 98
2 3: . . . . 8 01
2 2: . 11 5 10 4 636b
1 1: . . . . 9 01
2 0: . . . 6 3 00
4. 3. 2. 1. 0. rule(hex)
1 13: . . . . 10 02
1 12: . . . 5 0 06
1 11: . 4 5 1 7 7063
3 10: . . 6 4 12 95
2 9: . . . 4 10 06
2 8: . . . . 5 01
3 7: . . . . 2 02
2 6: . . . 8 7 09
4 5: 2 7 11 3 0 513741da
5 4: . . 9 13 4 98
3 3: . . . . 3 02
2 2: . 10 5 9 4 636b
1 1: . . . . 8 01
2 0: . . . 6 3 00
2. 1. 0. rule(hex)
1 13: . . 10 02
1 12: . . 0 01
0 11: 4 1 6 9b
3 10: 5 4 12 95
2 9: . 4 10 06
3 8: . . 8 02
1 7: . . 5 01
2 6: . . 2 02
3 5: . 8 6 09
5 4: 9 13 4 98
1 3: . . 7 01
1 2: 10 9 4 a7
1 1: . . 8 01
1 0: . 5 3 00
