Understanding data augmentation for classification: when to warp? SC Wong, A Gatt, V Stamatescu, MD McDonnell 2016 international conference on digital image computing: techniques and …, 2016 | 1180 | 2016 |
What is stochastic resonance? Definitions, misconceptions, debates, and its relevance to biology MD McDonnell, D Abbott PLoS computational biology 5 (5), e1000348, 2009 | 878 | 2009 |
The benefits of noise in neural systems: bridging theory and experiment MD McDonnell, LM Ward Nature Reviews Neuroscience 12 (7), 415-425, 2011 | 784 | 2011 |
Stochastic resonance MD McDonnell, NG Stocks, CEM Pearce, D Abbott Stochastic Resonance, 2008 | 367 | 2008 |
Mathematical methods for spatially cohesive reserve design MD McDonnell, HP Possingham, IR Ball, EA Cousins Environmental Modeling & Assessment 7, 107-114, 2002 | 346 | 2002 |
Deep extreme learning machines: supervised autoencoding architecture for classification MD Tissera, MD McDonnell Neurocomputing 174, 42-49, 2016 | 132 | 2016 |
Methods for generating complex networks with selected structural properties for simulations: a review and tutorial for neuroscientists BJ Prettejohn, MJ Berryman, MD McDonnell Frontiers in computational neuroscience 5, 11, 2011 | 126 | 2011 |
Enhanced image classification with a fast-learning shallow convolutional neural network MD McDonnell, T Vladusich 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 120 | 2015 |
Acoustic scene classification using deep residual networks with late fusion of separated high and low frequency paths MD McDonnell, W Gao ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 101 | 2020 |
Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance MD McDonnell, NG Stocks, CEM Pearce, D Abbott Physics Letters A 352 (3), 183-189, 2006 | 91 | 2006 |
Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ‘extreme learning machine’algorithm MD McDonnell, MD Tissera, T Vladusich, A van Schaik, J Tapson PloS one 10 (8), e0134254, 2015 | 88 | 2015 |
Training wide residual networks for deployment using a single bit for each weight MD McDonnell arXiv preprint arXiv:1802.08530, 2018 | 85 | 2018 |
An analysis of noise enhanced information transmission in an array of comparators MD McDonnell, D Abbott, CEM Pearce Microelectronics Journal 33 (12), 1079-1089, 2002 | 81 | 2002 |
Maximally informative stimuli and tuning curves for sigmoidal rate-coding neurons and populations MD McDonnell, NG Stocks arXiv preprint arXiv:0802.1570, 2008 | 68 | 2008 |
A characterization of suprathreshold stochastic resonance in an array of comparators by correlation coefficient MD Mcdonnell, D Abbott, CEM Pearce Fluctuation and noise letters 2 (03), L205-L220, 2002 | 68 | 2002 |
Optimal stimulus and noise distributions for information transmission via suprathreshold stochastic resonance MD McDonnell, NG Stocks, D Abbott Physical Review E 75 (6), 061105, 2007 | 58 | 2007 |
Neural population coding is optimized by discrete tuning curves AP Nikitin, NG Stocks, RP Morse, MD McDonnell Physical review letters 103 (13), 138101, 2009 | 57 | 2009 |
Too good to be true: when overwhelming evidence fails to convince LJ Gunn, F Chapeau-Blondeau, MD McDonnell, BR Davis, A Allison, ... Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2016 | 45 | 2016 |
An introductory review of information theory in the context of computational neuroscience MD McDonnell, S Ikeda, JH Manton Biological cybernetics 105, 55-70, 2011 | 45 | 2011 |
The application of deep convolutional neural networks to brain cancer images: a survey A Zadeh Shirazi, E Fornaciari, MD McDonnell, M Yaghoobi, Y Cevallos, ... Journal of personalized medicine 10 (4), 224, 2020 | 44 | 2020 |