Outputs (4)

Opposing effects of final population density and stress on Escherichia coli mutation rate (2018)
Journal Article
Channon. (2018). Opposing effects of final population density and stress on Escherichia coli mutation rate. ISME Journal, 2981-2987. https://doi.org/10.1038/s41396-018-0237-3

Evolution depends on mutations. For an individual genotype, the rate at which mutations arise is known to increase with various stressors (stress-induced mutagenesis-SIM) and decrease at high final population density (density-associated mutation-rate... Read More about Opposing effects of final population density and stress on Escherichia coli mutation rate.

Environmental pleiotropy and demographic history direct adaptation under antibiotic selection (2018)
Journal Article
Channon. (2018). Environmental pleiotropy and demographic history direct adaptation under antibiotic selection. Heredity, 438-448. https://doi.org/10.1038/s41437-018-0137-3

Evolutionary rescue following environmental change requires mutations permitting population growth in the new environment. If change is severe enough to prevent most of the population reproducing, rescue becomes reliant on mutations already present.... Read More about Environmental pleiotropy and demographic history direct adaptation under antibiotic selection.

Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network (2018)
Journal Article
Channon. (2018). Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network. https://doi.org/10.1162/isal_a_00099

Deep Convolutional Neural Networks (ConvNets) have seen great success on machine learning tasks in recent years but have shown difficulty with tasks that require long-term deliberative planning. Whereas, purpose-built hybrid network architectures hav... Read More about Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network.

Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT (2018)
Book Chapter
Channon, A., & Jolley, B. (2018). Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT. In Proceedings of the IEEE Symposium Series on Computational Intelligence 2017 (3488 -3495)

Previous works have used a novel hybrid network architecture to create deliberative behaviours to solve increasingly challenging tasks in two-dimensional and threedimensional artificial worlds. At the foundation of each is a static hand-designed neur... Read More about Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT.