Table 1. Growth layouts.

set	growth mode	# origins	final gradient of neuron density around origins	planar growth of cortical sheet	radial growth of cortical sheet	number of areas	number of growth events	total number of neurons	abbreviation
realistically oriented gradient	1D 1 row	1	realistically oriented	✔	✘	25	12	24897	1D-1row-1or
	1D 2 rows	1				50	12	49794	1D-2row-1or
	2D	1				81	5	40838	2D-1or
	1D 1 row	2				26	6	26550	1D-1row-2or
	1D 2 rows	2				52	6	53100	1D-2row-2or
	2D	2				162	5	81676	2D-2or
	1D 1 row	3				27	4	28215	1D-1row-3or
	1D 2 rows	3				54	4	56430	1D-2row-3or
	2D	3				196	4	100248	2D-4or
inverse gradient	1D 1 row	2	inverse	✔	✘	26	6	23910	inverse-1D-1row-2or
	1D 2 rows	2				52	6	47820	inverse-1D-2row-2or
	2D	2				162	5	38994	inverse-2D-2or
radial	1D 1 row	2	realistically oriented	✘	✔	26	6	26550	radial-1D-1row-2or
	1D 2 rows	2				52	6	53100	radial-1D-2row-2or
	2D	2				162	5	81676	radial-2D-2or
static	1D 1 row	2	realistically oriented	✘	✘	26	1	26550	static-1D-1row-2or
	1D 2 rows	2				52	1	53100	static-1D-2row-2or
	2D	2				162	1	81676	static-2D-2or
random	1D 1 row	2	no gradient / random	✔	✘	26	6	26550	random-1D-1row-2or
	1D 2 rows	2				52	6	53100	random-1D-2row-2or
	2D	2				162	5	81676	random-2D-2or

This table indicates the set, growth mode and number of neurogenetic origins for each of the 21 growth layouts. For each set, the determining properties of the spatiotemporal growth trajectory are indicated. Moreover, for each growth layout the total numbers of areas, growth events and neurons are included. Abbreviations and background colours introduced here are used throughout the figures.