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Article Addendum

Emergent complexity in simple neural systems

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Pages 467-470 | Received 13 Jun 2009, Accepted 16 Jun 2009, Published online: 01 Nov 2009

Figures & data

Figure 1 Simple models create complex patterns of triangles. (A) Sierpinski triangles: generated by simply drawing an upside down triangle inside the original triangle, then drawing a new triangle in each of the triangles this generates, as indicated in the inset. (B) A cellular automata model, specified by “Rule 90”, illustrated at left. This produces a pattern much like that in (A) if started from a single point. With random initial conditions it generates patterns like those seen here. (C) Neural model of Cymbolia innexa (Boettiger et al. 2009). (D) Photo of Cymbolia innexa.

Figure 1 Simple models create complex patterns of triangles. (A) Sierpinski triangles: generated by simply drawing an upside down triangle inside the original triangle, then drawing a new triangle in each of the triangles this generates, as indicated in the inset. (B) A cellular automata model, specified by “Rule 90”, illustrated at left. This produces a pattern much like that in (A) if started from a single point. With random initial conditions it generates patterns like those seen here. (C) Neural model of Cymbolia innexa (Boettiger et al. 2009). (D) Photo of Cymbolia innexa.