% uses machine learning to facilitate automatic olfactory classification.
% Intro discusses how smells are smelled.
% PDF: https://arxiv.org/pdf/1906.07067
@article{imam2020rapid,
  title={Rapid online learning and robust recall in a neuromorphic olfactory circuit},
  author={Imam, Nabil and Cleland, Thomas A},
  journal={Nature Machine Intelligence},
  volume={2},
  number={3},
  pages={181--191},
  year={2020},
  publisher={Nature Publishing Group}
}

% PDF: https://search.proquest.com/docview/1297102848?pq-origsite=gscholar&imgSeq=1
@article{gellermann1933chance,
  title={Chance orders of alternating stimuli in visual discrimination experiments},
  author={Gellermann, Louis W},
  journal={The journal of genetic psychology},
  volume={42},
  pages={206--208},
  year={1933},
  publisher={Journal Press, etc.}
}

% PDF: https://static1.squarespace.com/static/5b82081250a54f02ee0758c8/t/5b8ed5a04fa51a484aa907ee/1536087459872/tinbergen+original.pdf
% Also uploaded to repository.
@article{Tinbergen1963Jan,
	author = {Tinbergen, N.},
	title = {{On aims and methods of Ethology}},
	journal = {Z. Tierpsychol.},
	volume = {20},
	number = {4},
	pages = {410--433},
	year = {1963},
	month = {Jan},
	issn = {0044-3573},
	publisher = {John Wiley {\&} Sons, Ltd},
	doi = {10.1111/j.1439-0310.1963.tb01161.x}
}