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Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations

Here we highlight an emerging trend in the use of machine learning classifiers to test for abstraction across patterns of neural activity. When a classifier algorithm is trained on data from one cognitive context, and tested on data from another, conclusions can be drawn about the role of a given br...

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Detalhes bibliográficos
Publicado no:Front Hum Neurosci
Main Authors: Kaplan, Jonas T., Man, Kingson, Greening, Steven G.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4373279/
https://ncbi.nlm.nih.gov/pubmed/25859202
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2015.00151
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