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
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.