Using artificial neural networks to classify unknown volatile chemicals from the firings of insect olfactory sensory neurons. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb; Edmund J. Crampin (EMBC, 2011)

Predicting odorant chemical class from odorant descriptor values with an assembly of multi-layer perceptrons. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb; Edmund J. Crampin (EMBC, 2011)

Application of artificial neural networks on mosquito Olfactory Receptor Neurons for an olfactory biosensor. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb (EMBC, 2013)

Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb; Edmund J. Crampin (Neural Comput., 2013)

"Super E-Noses": Multi-layer perceptron classification of volatile odorants from the firing rates of cross-species olfactory receptor arrays. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb (EMBC, 2014)

Artificial Neural Network prediction of specific VOCs and blended VOCs for various concentrations from the olfactory receptor firing rates of Drosophila melanogaster. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb (EMBC, 2014)

Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose. - Luqman R. Bachtiar; Charles P. Unsworth; Richard D. Newcomb (Neural Comput., 2015)

Improving odorant chemical class prediction with multi-layer perceptrons using temporal odorant spike responses from drosophila melanogaster olfactory receptor neurons. - Luqman R. Bachtiar; Richard D. Newcomb; Andrew V. Kralicek; Charles P. Unsworth (EMBC, 2016)