Articles with "encoding models" as a keyword



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Transferring and generalizing deep-learning-based neural encoding models across subjects

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Published in 2018 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2018.04.053

Abstract: ABSTRACT Recent studies have shown the value of using deep learning models for mapping and characterizing how the brain represents and organizes information for natural vision. However, modeling the relationship between deep learning models and… read more here.

Keywords: transferring generalizing; encoding models; deep learning; models across ... See more keywords
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Probabilistic Encoding Models for Multivariate Neural Data

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Published in 2019 at "Frontiers in Neural Circuits"

DOI: 10.3389/fncir.2019.00001

Abstract: A key problem in systems neuroscience is to characterize how populations of neurons encode information in their patterns of activity. An understanding of the encoding process is essential both for gaining insight into the origins… read more here.

Keywords: multivariate neural; encoding models; probabilistic encoding; neural data ... See more keywords