Tell me what I told you Mini-Me: Constructing and providing two-layer feedforward networks for classification of continuous data in (and) a virtual T-maze
This article is a preprint and has not been certified by peer review [What does this mean?].
Author(s) / Creator(s)
Rodrigues, Johannes
Ziebell, Philipp
Müller, Mathias
Hewig, Johannes
Abstract / Description
There continues to be difficulties when it comes to replication of studies in the field of Psychology. In part, this may be caused by insufficiently standardized analysis methods that may be subject to state dependent variations in performance. In this work, we show how to easily adapt the two-layer feedforward neural network architecture provided by Huang (2003) to a behavioral classification problem as well as a physiological classification problem which would not be solvable in a standardized way otherwise. In addition, we provide an example for a new research paradigm along with this standardized analysis method. This paradigm as well as the analysis method can be adjusted to any necessary modification or applied to other paradigms or research questions. Hence, we wanted to show that two-layer feedforward neural networks can be used to increase standardization as well as replicability and illustrate this with examples based on a virtual T-maze paradigm by Rodrigues (2016) including free virtual movement via joystick and advanced physiological data signal processing.
Keyword(s)
neural network two-layer feedforward neural network machine learning classification virtual T-mazePersistent Identifier
Date of first publication
2020-10
Publisher
PsychArchives
Is version of
Citation
Rodrigues, J., Ziebell, P., Müller, M., & Hewig, J. (2020). Tell me what I told you Mini-Me: Constructing and providing two-layer feedforward networks for classification of continuous data in (and) a virtual T-maze. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4199
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Preprint_Rodrigues_Ziebell_Mueller_Hewig_2020_10_05.pdfAdobe PDF - 1.84MBMD5: a23a17d0f324131d1b65975099e56573
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There are no other versions of this object.
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Author(s) / Creator(s)Rodrigues, Johannes
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Author(s) / Creator(s)Ziebell, Philipp
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Author(s) / Creator(s)Müller, Mathias
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Author(s) / Creator(s)Hewig, Johannes
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PsychArchives acquisition timestamp2020-10-06T11:53:46Z
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Made available on2020-10-06T11:53:46Z
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Date of first publication2020-10
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Submission date2020-06
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Submission date2020-08
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Abstract / DescriptionThere continues to be difficulties when it comes to replication of studies in the field of Psychology. In part, this may be caused by insufficiently standardized analysis methods that may be subject to state dependent variations in performance. In this work, we show how to easily adapt the two-layer feedforward neural network architecture provided by Huang (2003) to a behavioral classification problem as well as a physiological classification problem which would not be solvable in a standardized way otherwise. In addition, we provide an example for a new research paradigm along with this standardized analysis method. This paradigm as well as the analysis method can be adjusted to any necessary modification or applied to other paradigms or research questions. Hence, we wanted to show that two-layer feedforward neural networks can be used to increase standardization as well as replicability and illustrate this with examples based on a virtual T-maze paradigm by Rodrigues (2016) including free virtual movement via joystick and advanced physiological data signal processing.en
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Publication statusotheren
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Review statusnotRevieweden
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SponsorshipJulius-Maximilians University of Würzburg: Faculty of human sciencesen
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CitationRodrigues, J., Ziebell, P., Müller, M., & Hewig, J. (2020). Tell me what I told you Mini-Me: Constructing and providing two-layer feedforward networks for classification of continuous data in (and) a virtual T-maze. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4199en
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/3811
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.4199
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Language of contenteng
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PublisherPsychArchivesen
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Is version ofhttps://doi.org/10.1038/s41598-022-17013-5
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Requireshttp://update.cybersession.info/T-Maze/VrProject.T-Maze.zip
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Requireshttp://update.cybersession.info/T-Maze/TwoLayerFeedForward_Data.zip
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Requireshttps://crm.vtplus.eu/svn/open-access.t-maze/trunk
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Requireshttps://crm.vtplus.eu/svn/open-access.t-maze/trunk/Paradigm
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Requireshttps://crm.vtplus.eu/svn/open-access.t-maze/trunk/sourcemods/VrSessionMod06_T-maze
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Keyword(s)neural networken
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Keyword(s)two-layer feedforward neural networken
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Keyword(s)machine learning classificationen
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Keyword(s)virtual T-mazeen
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Dewey Decimal Classification number(s)150
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TitleTell me what I told you Mini-Me: Constructing and providing two-layer feedforward networks for classification of continuous data in (and) a virtual T-mazeen
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DRO typepreprinten