Literature DB >> 25680521

Sensible decoding.

Thomas A Carlson1, Susan G Wardle2.   

Abstract

Multivariate pattern analysis (MVPA) has become an increasingly popular approach to fMRI research because these methods offer the attractive possibility of "decoding" the content of brain representations. One weakness of MVPA is that the source of decodable information is not always apparent, as evidenced by the ongoing debate about orientation decoding in human visual cortex. In a recent study (Carlson, 2014), we used an unbiased model of visual cortex to reveal a new source of decodable information that may account for orientation decoding. Clifford and Mannion (2015) take issue with the model's capacity to decode spiral sense. Here, we discuss their findings in the context of the ongoing debate on orientation decoding and further highlight the limitations of using MVPA to infer the content of brain representations. Crown
Copyright © 2015. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25680521     DOI: 10.1016/j.neuroimage.2015.02.009

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Resolving Ambiguities of MVPA Using Explicit Models of Representation.

Authors:  Thomas Naselaris; Kendrick N Kay
Journal:  Trends Cogn Sci       Date:  2015-10       Impact factor: 20.229

2.  Noise correlations in the human brain and their impact on pattern classification.

Authors:  Vikranth R Bejjanki; Rava Azeredo da Silveira; Jonathan D Cohen; Nicholas B Turk-Browne
Journal:  PLoS Comput Biol       Date:  2017-08-25       Impact factor: 4.475

3.  Tools of the Trade Multivoxel pattern analysis in fMRI: a practical introduction for social and affective neuroscientists.

Authors:  Miriam E Weaverdyck; Matthew D Lieberman; Carolyn Parkinson
Journal:  Soc Cogn Affect Neurosci       Date:  2020-06-23       Impact factor: 3.436

4.  Early Blindness Results in Developmental Plasticity for Auditory Motion Processing within Auditory and Occipital Cortex.

Authors:  Fang Jiang; G Christopher Stecker; Geoffrey M Boynton; Ione Fine
Journal:  Front Hum Neurosci       Date:  2016-07-05       Impact factor: 3.169

5.  Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information.

Authors:  Arjen Alink; Alexander Walther; Alexandra Krugliak; Nikolaus Kriegeskorte
Journal:  Sci Rep       Date:  2017-08-02       Impact factor: 4.379

  5 in total

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