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Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.

, , , , , and . Int. J. Neural Syst., 25 (7): 1450032:1-1450032:17 (2015)

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Symbol representations and signal dynamics in evolving droplet computers., , and . Nat. Comput., 13 (2): 247-256 (2014)Artificial Wet Neuronal Networks from Compartmentalised Excitable Chemical Media., , and . ERCIM News, 2011 (85): 30-32 (2011)Evolutionary Design of Classifiers Made of Droplets Containing a Nonlinear Chemical Medium., , , and . Evol. Comput., (2017)Combining evolution and self-organization to find natural Boolean representations in unconventional computational media., , , and . Biosyst., (2019)Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow., , , , , and . Int. J. Neural Syst., 25 (7): 1450032:1-1450032:17 (2015)Multi-scale Modelling of Computers Made from Excitable Chemical Droplets., , , , , , , , and . Int. J. Unconv. Comput., 9 (3-4): 237-266 (2013)Symbol Representations in Evolving Droplet Computers., , and . UCNC, volume 7445 of Lecture Notes in Computer Science, page 130-140. Springer, (2012)Rule-based spatial modeling with diffusing, geometrically constrained molecules., , , , , and . BMC Bioinform., (2010)Synthetic signalling protocell networks as models of neural computation., , , and . ECAL, page 248-249. MIT Press, (2013)