Deep learning for behaviour classification in a preclinical brain injury model

Lucas Teoh; Achintha Avin Ihalage; Srooley Harp; Zahra F. Al-Khateeb; Adina T. Michael-Titus; Jordi L. Tremoleda; Yang Hao

doi:10.1371/journal.pone.0268962

Loading metrics

Open Access

Peer-reviewed

Research Article

Deep learning for behaviour classification in a preclinical brain injury model

Lucas Teoh,

Roles Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End, London, United Kingdom
⨯
Achintha Avin Ihalage,

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End, London, United Kingdom

https://orcid.org/0000-0002-4250-187X

⨯
Srooley Harp,

Roles Data curation, Resources, Writing – review & editing

Affiliation Centre for Neuroscience, Surgery and Trauma, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
⨯
Zahra F. Al-Khateeb,

Roles Data curation, Investigation, Visualization

Affiliation Centre for Neuroscience, Surgery and Trauma, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
⨯
Adina T. Michael-Titus,

Roles Funding acquisition, Project administration, Supervision

Affiliation Centre for Neuroscience, Surgery and Trauma, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
⨯
Jordi L. Tremoleda ,

Roles Conceptualization, Data curation, Investigation, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: y.hao@qmul.ac.uk (YH); j.lopez-tremoleda@qmul.ac.uk (JLT)

Affiliation Centre for Neuroscience, Surgery and Trauma, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom

https://orcid.org/0000-0002-8846-9043

⨯
Yang Hao

Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

* E-mail: y.hao@qmul.ac.uk (YH); j.lopez-tremoleda@qmul.ac.uk (JLT)

Affiliation School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End, London, United Kingdom

https://orcid.org/0000-0002-9949-7226

⨯

Deep learning for behaviour classification in a preclinical brain injury model

Lucas Teoh,
Achintha Avin Ihalage,
Srooley Harp,
Zahra F. Al-Khateeb,
Adina T. Michael-Titus,
Jordi L. Tremoleda,
Yang Hao

Published: June 15, 2022
https://doi.org/10.1371/journal.pone.0268962

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Traumatic brain injury
Is the Subject Area "Traumatic brain injury" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Feedforward neural networks
Is the Subject Area "Feedforward neural networks" applicable to this article?

Thanks for your feedback.
Neural networks
Is the Subject Area "Neural networks" applicable to this article?

Thanks for your feedback.
Brain damage
Is the Subject Area "Brain damage" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.