Deep learning models in cognitive sciences
- Submission status
- Closed
- Submission deadline
Deep learning is understood as a form of machine learning which imitates how humans acquire knowledge. It first gained a lot of attention as it has enabled machines to approach and tackle cognitive tasks at which humans excel in a human-like fashion - including object recognition, speech processing, and cognitive planning. More recently, cognitive scientists have turned to deep learning models to study human cognition and its neural underpinnings.
This Collections welcomes research from the areas of Psychology, Neuroscience or other Cognitive Sciences, using deep learning approaches to study cognitive phenomena.
Editors
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Ioannis Delis
University of Leeds, UK
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Mohammed Hasanuzzaman
Munster Technological University, Ireland
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Shelli Kesler
University of Texas at Austin, USA
Collections articles undergo Scientific Reports' standard peer review process and are subject to all of the journal’s standard policies. This includes the journal’s policy on competing interests. The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.
This Collection has not been supported by sponsorship.
