Matches in SemOpenAlex for { <https://semopenalex.org/work/W2132826231> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2132826231 endingPage "8" @default.
- W2132826231 startingPage "1" @default.
- W2132826231 abstract "Functional Magnetic Resonance Imaging (fMRI) provides a unique opportunity to study brain functional architecture, while being minimally invasive. Reverse inference, a.k.a. decoding, is a recent statistical analysis approach that has been used with success for deciphering activity patterns that are thought to fit the neuroscientific concept of population coding. Decoding relies on the selection of brain regions in which the observed activity is predictive of certain cognitive tasks. The accuracy of such a procedure is quantified by the prediction of the behavioral variable of interest – the target. In this paper, we discuss the optimality of decoding methods in two different settings, namely intra- and inter-subject kind of decoding. While inter-subject prediction aims at finding predictive regions that are stable across subjects, it is plagued by the additional inter-subject variability (lack of voxel-to-voxel correspondence), so that the best suited prediction algorithms used in reverse inference may not be the same in both cases. We benchmark different prediction algorithms in both intra- and inter-subjects analysis, and we show that using spatial regularization improves reverse inference in the challenging context of inter-subject prediction. Moreover, we also study the different maps of weights, and show that methods with similar accuracy may yield maps with very different spatial layout of the predictive regions." @default.
- W2132826231 created "2016-06-24" @default.
- W2132826231 creator A5018256474 @default.
- W2132826231 creator A5026762833 @default.
- W2132826231 creator A5027430303 @default.
- W2132826231 creator A5043576146 @default.
- W2132826231 creator A5044200790 @default.
- W2132826231 date "2012-01-01" @default.
- W2132826231 modified "2023-09-26" @default.
- W2132826231 title "A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding" @default.
- W2132826231 cites W1967293062 @default.
- W2132826231 cites W1994371394 @default.
- W2132826231 cites W1995956812 @default.
- W2132826231 cites W2024933578 @default.
- W2132826231 cites W2048631316 @default.
- W2132826231 cites W2103559027 @default.
- W2132826231 cites W2106664807 @default.
- W2132826231 cites W2122825543 @default.
- W2132826231 cites W2129507585 @default.
- W2132826231 cites W2149726258 @default.
- W2132826231 cites W2911546748 @default.
- W2132826231 cites W4214840827 @default.
- W2132826231 cites W4294541781 @default.
- W2132826231 doi "https://doi.org/10.1007/978-3-642-34713-9_1" @default.
- W2132826231 hasPublicationYear "2012" @default.
- W2132826231 type Work @default.
- W2132826231 sameAs 2132826231 @default.
- W2132826231 citedByCount "3" @default.
- W2132826231 countsByYear W21328262312019 @default.
- W2132826231 countsByYear W21328262312020 @default.
- W2132826231 crossrefType "book-chapter" @default.
- W2132826231 hasAuthorship W2132826231A5018256474 @default.
- W2132826231 hasAuthorship W2132826231A5026762833 @default.
- W2132826231 hasAuthorship W2132826231A5027430303 @default.
- W2132826231 hasAuthorship W2132826231A5043576146 @default.
- W2132826231 hasAuthorship W2132826231A5044200790 @default.
- W2132826231 hasBestOaLocation W21328262312 @default.
- W2132826231 hasConcept C105795698 @default.
- W2132826231 hasConcept C11413529 @default.
- W2132826231 hasConcept C119857082 @default.
- W2132826231 hasConcept C13280743 @default.
- W2132826231 hasConcept C153180895 @default.
- W2132826231 hasConcept C154945302 @default.
- W2132826231 hasConcept C15744967 @default.
- W2132826231 hasConcept C166957645 @default.
- W2132826231 hasConcept C169760540 @default.
- W2132826231 hasConcept C179518139 @default.
- W2132826231 hasConcept C185798385 @default.
- W2132826231 hasConcept C205649164 @default.
- W2132826231 hasConcept C2776135515 @default.
- W2132826231 hasConcept C2776214188 @default.
- W2132826231 hasConcept C2779226451 @default.
- W2132826231 hasConcept C2779343474 @default.
- W2132826231 hasConcept C33923547 @default.
- W2132826231 hasConcept C41008148 @default.
- W2132826231 hasConcept C54170458 @default.
- W2132826231 hasConcept C57273362 @default.
- W2132826231 hasConceptScore W2132826231C105795698 @default.
- W2132826231 hasConceptScore W2132826231C11413529 @default.
- W2132826231 hasConceptScore W2132826231C119857082 @default.
- W2132826231 hasConceptScore W2132826231C13280743 @default.
- W2132826231 hasConceptScore W2132826231C153180895 @default.
- W2132826231 hasConceptScore W2132826231C154945302 @default.
- W2132826231 hasConceptScore W2132826231C15744967 @default.
- W2132826231 hasConceptScore W2132826231C166957645 @default.
- W2132826231 hasConceptScore W2132826231C169760540 @default.
- W2132826231 hasConceptScore W2132826231C179518139 @default.
- W2132826231 hasConceptScore W2132826231C185798385 @default.
- W2132826231 hasConceptScore W2132826231C205649164 @default.
- W2132826231 hasConceptScore W2132826231C2776135515 @default.
- W2132826231 hasConceptScore W2132826231C2776214188 @default.
- W2132826231 hasConceptScore W2132826231C2779226451 @default.
- W2132826231 hasConceptScore W2132826231C2779343474 @default.
- W2132826231 hasConceptScore W2132826231C33923547 @default.
- W2132826231 hasConceptScore W2132826231C41008148 @default.
- W2132826231 hasConceptScore W2132826231C54170458 @default.
- W2132826231 hasConceptScore W2132826231C57273362 @default.
- W2132826231 hasLocation W21328262311 @default.
- W2132826231 hasLocation W21328262312 @default.
- W2132826231 hasLocation W21328262313 @default.
- W2132826231 hasLocation W21328262314 @default.
- W2132826231 hasLocation W21328262315 @default.
- W2132826231 hasOpenAccess W2132826231 @default.
- W2132826231 hasPrimaryLocation W21328262311 @default.
- W2132826231 hasRelatedWork W1485630101 @default.
- W2132826231 hasRelatedWork W2013514379 @default.
- W2132826231 hasRelatedWork W2358034992 @default.
- W2132826231 hasRelatedWork W2375901233 @default.
- W2132826231 hasRelatedWork W2383319832 @default.
- W2132826231 hasRelatedWork W2444145692 @default.
- W2132826231 hasRelatedWork W2498017833 @default.
- W2132826231 hasRelatedWork W2961085424 @default.
- W2132826231 hasRelatedWork W3095983064 @default.
- W2132826231 hasRelatedWork W4206076898 @default.
- W2132826231 isParatext "false" @default.
- W2132826231 isRetracted "false" @default.
- W2132826231 magId "2132826231" @default.
- W2132826231 workType "book-chapter" @default.