Deep learning models in cognitive sciences

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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.

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3D rendering of a head made up of flat triangles, on a blue background. Represents machine learning concepts


Submitting a paper for consideration


To submit your manuscript for consideration at Scientific Reports as part of this Collection, please follow the steps detailed on this page. On the first page of our online submission system, under “I’m submitting:” select the option “any other article type”. Once logged in you can submit your manuscript to a Collection by selecting “Guest Edited Collection”, under the “Choose the appropriate manuscript type” message, and clicking “Continue”. Then when filling out the manuscript information, select the "Deep learning models in cognitive sciences" Collection from the alphabetical list on the “Springer Nature Subject Category” tab. Authors should express their interest in the Collection in their cover letter.

Accepted papers are published on a rolling basis as soon as they are ready.

In addition to papers on deep learning models in cognitive sciences, Scientific Reports welcomes all original research in the field of psychology. To browse our latest articles in psychology, click here.


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