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David Nicholson
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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
322017
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
292022
1.0 Contributors
P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ...
SciPy 1, 261-272, 2020
272020
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
232018
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
23*
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
162012
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
152016
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
142020
Bengalese Finch song repository
D Nicholson, JE Queen, SJ Sober
Figshare 1, e5, 2017
122017
Peculiar citric acid cycle of hydrothermal vent chemolithoautotroph Hydrogenovibrio crunogenus, and insights into carbon metabolism by obligate autotrophs
FEMS Microbiol Lett, 2017
82017
Reverse engineering adversarial attacks with fingerprints from adversarial examples
DA Nicholson, V Emanuele
arXiv preprint arXiv:2301.13869, 2023
52023
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
52022
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
42019
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
32023
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
32021
pyOpenSci: Open and reproducible research, powered by Python.
M Trizna, LA Wasser, D Nicholson
Biodiversity Information Science and Standards, 2021
22021
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
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
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Artikelen 1–20