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Research ArticleOpen Source Tools and Methods, Novel Tools and Methods

Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model

Vincent Truong, Johnathan E. Moore, Ulises M. Ricoy and Jessica L. Verpeut
eNeuro 9 December 2024, 11 (12) ENEURO.0173-24.2024; https://doi.org/10.1523/ENEURO.0173-24.2024
Vincent Truong
1Department of Psychology, Arizona State University, Tempe, Arizona 85287
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Johnathan E. Moore
2Department of Neuroscience, University of Arizona, Tucson, Arizona 85721
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Ulises M. Ricoy
2Department of Neuroscience, University of Arizona, Tucson, Arizona 85721
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Jessica L. Verpeut
1Department of Psychology, Arizona State University, Tempe, Arizona 85287
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0173-24.2024
PubMed 
39653390
Published By 
Society for Neuroscience
History 
  • Received April 22, 2024
  • Revision received October 26, 2024
  • Accepted November 5, 2024
  • Published online December 9, 2024.
Copyright & Usage 
Copyright © 2024 Truong et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Vincent Truong1,*,
  2. Johnathan E. Moore2,*,
  3. Ulises M. Ricoy2 and
  4. Jessica L. Verpeut1
  1. 1Department of Psychology, Arizona State University, Tempe, Arizona 85287
  2. 2Department of Neuroscience, University of Arizona, Tucson, Arizona 85721
  1. Correspondence should be addressed to Jessica L. Verpeut at jverpeut{at}asu.edu.
View Full Text

Author contributions

  1. Author contributions: J.E.M. and U.M.R. designed research; V.T., J.E.M., and U.M.R. performed research; V.T., J.E.M., U.M.R., and J.L.V. contributed unpublished reagents/analytic tools; V.T., J.E.M., U.M.R., and J.L.V. analyzed data; V.T., J.E.M., U.M.R., and J.L.V. wrote the paper.

View Abstract

Disclosures

  • The authors declare no competing financial interests.

  • We thank David Esparza and Laura O’Dell for collaboration and experimental insights.

  • This work was supported by National Institutes on Drug Abuse (R25DAQ033613), The Grass Foundation, Institute for Mental Health Research, Institute for Social Science Research, Arizona Department of Health Sciences (ADHS14-052688), US Department of Health and Human Services, National Institutes of Health (P30AG019610), Arizona Alzheimer's Disease Research Center REC Fellows Program and Arizona Alzheimer's Consortium.

  • ↵*V.T. and J.E.M. are the co-first authors.

Funding

  • HHS | NIH | National Institute on Drug Abuse (NIDA)

    R25DAQ033613
  • The Grass Foundation

  • Arizona State University (ASU)

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  • You are viewing the most recent version of this article.
  • previous version (December 09, 2024).

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Dec 2024797709292
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eneuro: 11 (12)
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December 2024
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Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model
Vincent Truong, Johnathan E. Moore, Ulises M. Ricoy, Jessica L. Verpeut
eNeuro 9 December 2024, 11 (12) ENEURO.0173-24.2024; DOI: 10.1523/ENEURO.0173-24.2024

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Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model
Vincent Truong, Johnathan E. Moore, Ulises M. Ricoy, Jessica L. Verpeut
eNeuro 9 December 2024, 11 (12) ENEURO.0173-24.2024; DOI: 10.1523/ENEURO.0173-24.2024
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Keywords

  • addiction
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