Efficient neural decoding of self-location with a deep recurrent network

Ardi Tampuu; Tambet Matiisen; H. Freyja Ólafsdóttir; Caswell Barry; Raul Vicente

doi:10.1371/journal.pcbi.1006822

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Peer-reviewed

Research Article

Efficient neural decoding of self-location with a deep recurrent network

Ardi Tampuu,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliation Computational Neuroscience Lab, Institute of Computer Science, University of Tartu, Tartu, Estonia
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Tambet Matiisen,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Computational Neuroscience Lab, Institute of Computer Science, University of Tartu, Tartu, Estonia
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H. Freyja Ólafsdóttir,

Roles Data curation, Investigation, Methodology, Writing – original draft

Affiliation Department of Cell and Developmental Biology, University College London, London, United Kingdom
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Caswell Barry ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: raul.vicente.zafra@ut.ee (RV); caswell.barry@ucl.ac.uk (CB)

Affiliation Department of Cell and Developmental Biology, University College London, London, United Kingdom
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Raul Vicente

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: raul.vicente.zafra@ut.ee (RV); caswell.barry@ucl.ac.uk (CB)

Affiliation Computational Neuroscience Lab, Institute of Computer Science, University of Tartu, Tartu, Estonia

http://orcid.org/0000-0002-2497-0007

⨯

Efficient neural decoding of self-location with a deep recurrent network

Ardi Tampuu,
Tambet Matiisen,
H. Freyja Ólafsdóttir,
Caswell Barry,
Raul Vicente

Published: February 15, 2019
https://doi.org/10.1371/journal.pcbi.1006822

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Code notebook created to aid open science

Posted by gbeardmore on 11 Feb 2021 at 14:55 GMT

An interactive code notebook is available for this article at https://notebook-factory..... This has been created by NeuroLibre (https://www.neurolibre.co...) in partnership with PLOS Computational Biology. This is a prototype notebook and is subject to continued development.

Competing interests declared: PLOS Staff

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Efficient neural decoding of self-location with a deep recurrent network

Efficient neural decoding of self-location with a deep recurrent network

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Code notebook created to aid open science

Posted by gbeardmore on 11 Feb 2021 at 14:55 GMT