To insert individual citation into a bibliography in a word-processor,
select your preferred citation style below and drag-and-drop it into the document.
Proceedings of the Royal Society B: Biological Sciences, Vol. 280, No. 1755. (22 March 2013), pp. 20122863-20122863, doi:10.1098/rspb.2012.2863 Key: citeulike:11973928
Formatted Citation
Show HTML
Likes
(beta)
This copy of the article hasn't been liked by anyone yet.
A central biological question is how natural organisms are so evolvable (capable of quickly adapting to new environments). A key driver of evolvability is the widespread modularity of biological networks膓their organization as functional, sparsely connected subunits膓but there is no consensus regarding why modularity itself evolved. Although most hypotheses assume indirect selection for evolvability, here we demonstrate that the ubiquitous, direct selection pressure to reduce the cost of connections between network nodes causes the emergence of modular networks. Computational evolution experiments with selection pressures to maximize network performance and minimize connection costs yield networks that are significantly more modular and more evolvable than control experiments that only select for performance. These results will catalyse research in numerous disciplines, such as neuroscience and genetics, and enhance our ability to harness evolution for engineering purposes.
this paper ignited a discussion on comp-neuro (including some "I did the same 20 years before" e-mails by some senior scientists)
compares efficiency of a (rather abstract) neural model with or without optimizing connection cost. as expected, this depends heavily on the modularity of the task.
I regret not seeing that the the short-term effect of combining both should be detrimental as connection costs should penalize the first moments of evolution (as for homeostasis, or picking cookies in the jar while mummy told you not to)
Added 2013-05-14 10:14:35 - [public]
this paper ignited a discussion on comp-neuro (including some "I did the same 20 years before" e-mails by some senior scientists) * compares efficiency of a (rather abstract) neural model with or without optimizing connection cost. as expected, this depends heavily on the modularity of the task. * I regret not seeing that the the short-term effect of combining both should be detrimental as connection costs should penalize the first moments of evolution (as for homeostasis, or picking cookies in the jar while mummy told you not to)
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic
(which means it makes bibliographies) for universities and higher education establishments.
It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions.
The service is similar in scope to EndNote or RefWorks or any other reference manager
like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.