Automated annotation of birdsong with a neural network that segments spectrograms Y Cohen, DA Nicholson, A Sanchioni, EK Mallaber, V Skidanova, ... eLife 11, e63853, 2022 | 35 | 2022 |
Proteomic and mutant analysis of the CO2 concentrating mechanism of hydrothermal vent chemolithoautotroph Thiomicrospira crunogena CPKMS Mary Mangiapiaa, USF MCB4404L, Terry-René W. Browna, Dale Chaputb ... Journal of Bacteriology, 2017 | 35 | 2017 |
Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch. DA Nicholson, TF Roberts, S Samuel J Journal of Comparative Neurology 526 (9), 1550-1570, 2018 | 25 | 2018 |
Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch D Nicholson, T Roberts, S Sober https://www.biorxiv.org/content/early/2017/10/02/197590, 0 | 25* | |
Comparison of machine learning methods applied to birdsong element classification D Nicholson Proceedings of the 15th Python in Science Conference (SciPy 2016), 57-61, 2016 | 16 | 2016 |
A lightweight, headphones-based system for manipulating auditory feedback in songbirds LA Hoffmann, CW Kelly, DA Nicholson, SJ Sober JoVE (Journal of Visualized Experiments), e50027-e50027, 2012 | 16 | 2012 |
TweetyNet: A neural network that enables high-throughput, automated annotation of birdsong Y Cohen, D Nicholson, TJ Gardner https://www.biorxiv.org/content/10.1101/2020.08.28.272088v1, 2020 | 13 | 2020 |
Bengalese Finch song repository D Nicholson, JE Queen, SJ Sober Figshare 1, e5, 2017 | 12 | 2017 |
Peculiar citric acid cycle of hydrothermal vent chemolithoautotroph Hydrogenovibrio crunogenus, and insights into carbon metabolism by obligate autotrophs FEMS Microbiol Lett, 2017 | 8 | 2017 |
Reverse engineering adversarial attacks with fingerprints from adversarial examples DA Nicholson, V Emanuele arXiv preprint arXiv:2301.13869, 2023 | 7 | 2023 |
Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study DA Nicholson, AA Prinz Journal of Vision 22 (7), 3-3, 2022 | 5 | 2022 |
Deep Neural Network Models of Object Recognition Exhibit Human-like Limitations When Performing Visual Search Tasks DA Nicholson, AA Prinz https://www.biorxiv.org/content/10.1101/2020.10.26.354258v2, 2021 | 4 | 2021 |
Convolutional neural networks performing a visual search task show attention-like limits on accuracy when trained to generalize across multiple search stimuli D Nicholson, A Prinz 2019 Conference on Cognitive Computational Neuroscience, 2019 | 4 | 2019 |
Crowsetta: A Python tool to work with any format for annotating animal vocalizations and bioacoustics data. D Nicholson Journal of Open Source Software 8 (84), 2, 2023 | 3 | 2023 |
pyOpenSci: Open and reproducible research, powered by Python. M Trizna, LA Wasser, D Nicholson Biodiversity Information Science and Standards, 2021 | 2 | 2021 |
vak: a neural network framework for researchers studying animal acoustic communication D Nicholson, Y Cohen Python in Science Conference, 59-67, 2023 | | 2023 |
INTRODUCING VOCALPY: A CORE PYTHON PACKAGE FOR RESEARCHERS STUDYING ANIMAL ACOUSTIC COMMUNICATION D Nicholson | | 2023 |
1.0 Contributors P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... SciPy 1, 261-272, 2020 | | 2020 |
Cerebellothalamic and thalamostriatal projections in a songbird, the Bengalese Finch DA Nicholson https://etd.library.emory.edu/concern/etds/8k71nh08w, 2017 | | 2017 |
A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds LA Hoffmann, CW Kelly, DA Nicholson, SJ Sober | | |