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Luqman R. Bachtiar
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2010 – 2019
- 2016
- [c6]Luqman R. Bachtiar, Richard D. Newcomb, Andrew V. Kralicek, Charles P. Unsworth:
Improving odorant chemical class prediction with multi-layer perceptrons using temporal odorant spike responses from drosophila melanogaster olfactory receptor neurons. EMBC 2016: 6393-6396 - 2015
- [j2]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb:
Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose. Neural Comput. 27(1): 171-201 (2015) - 2014
- [c5]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb:
"Super E-Noses": Multi-layer perceptron classification of volatile odorants from the firing rates of cross-species olfactory receptor arrays. EMBC 2014: 954-957 - [c4]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb:
Artificial Neural Network prediction of specific VOCs and blended VOCs for various concentrations from the olfactory receptor firing rates of Drosophila melanogaster. EMBC 2014: 3232-3235 - 2013
- [j1]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb, Edmund J. Crampin:
Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design. Neural Comput. 25(1): 259-287 (2013) - [c3]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb:
Application of artificial neural networks on mosquito Olfactory Receptor Neurons for an olfactory biosensor. EMBC 2013: 5390-5393 - 2011
- [c2]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb, Edmund J. Crampin:
Using artificial neural networks to classify unknown volatile chemicals from the firings of insect olfactory sensory neurons. EMBC 2011: 2752-2755 - [c1]Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb, Edmund J. Crampin:
Predicting odorant chemical class from odorant descriptor values with an assembly of multi-layer perceptrons. EMBC 2011: 2756-2759
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