Highlighted papers

Synthetic associative learning in engineered multicellular consortia

Macía, J.; Vidiella, B.; Solé, R.V. (2017)

{

Journal Royal Society Interface 14: 20170158 http://dx.doi.org/10.1098/rsif.2017.0158

l

Microorganisms are known to display a range of computational tasks related to simple types of adaptive responses. More complex information-processing tasks are known to occur in eukaryotic systems, including learning. Could these cognitive tasks be introduced in microorganisms by engineering novel forms of interaction with environmentally-related stimuli? Specifically, this paper shows that associative learning can be implemented by using a multicellular design that effectively allows association between desired signals, enabling the creation of a pre-multicellular assembly capable of higher cognitive tasks.

By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close