Information mapping with pattern classifiers: a comparative study

NeuroImage
Francisco Pereira, Matthew Botvinick

Abstract

Information mapping using pattern classifiers has become increasingly popular in recent years, although without a clear consensus on which classifier(s) ought to be used or how results should be tested. This paper addresses each of these questions, both analytically and through comparative analyses on five empirical datasets. We also describe how information maps in multiple class situations can provide information concerning the content of neural representations. Finally, we introduce a publically available software toolbox designed specifically for information mapping.

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Citations

Feb 19, 2013·Nature Neuroscience·Anna C SchapiroMatthew M Botvinick
Dec 23, 2011·Cerebral Cortex·Julie D Golomb, Nancy Kanwisher
Jun 14, 2012·Cerebral Cortex·Adrian NestorDavid C Plaut
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Jan 21, 2015·Cerebral Cortex·Joset A EtzelTodd S Braver
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Sep 28, 2017·IEEE Transactions on Bio-medical Engineering·Chuncheng ZhangZhiying Long
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Jul 30, 2019·Journal of Vision·Emalie G McMahonMaryam Vaziri-Pashkam
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Feb 29, 2020·Journal of Cognitive Neuroscience·Chuanji GaoSvetlana V Shinkareva
Dec 29, 2018·Somatosensory & Motor Research·Junsuk KimHeinrich H Bülthoff

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