{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T19:24:10Z","timestamp":1776453850875,"version":"3.51.2"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1006397","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T00:00:00Z","timestamp":1553040000000}}],"reference-count":41,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T00:00:00Z","timestamp":1552003200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"crossref","award":["VIDI grant 864-13-012"],"award-info":[{"award-number":["VIDI grant 864-13-012"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"crossref","award":["VIDI grant 864-13-012"],"award-info":[{"award-number":["VIDI grant 864-13-012"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["VICI grant 453-12-002"],"award-info":[{"award-number":["VICI grant 453-12-002"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1006397","type":"journal-article","created":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T13:32:00Z","timestamp":1552051920000},"page":"e1006397","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":55,"title":["Methods for computing the maximum performance of computational models of fMRI responses"],"prefix":"10.1371","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2596-1540","authenticated-orcid":true,"given":"Agustin","family":"Lage-Castellanos","sequence":"first","affiliation":[]},{"given":"Giancarlo","family":"Valente","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5008-2460","authenticated-orcid":true,"given":"Elia","family":"Formisano","sequence":"additional","affiliation":[]},{"given":"Federico","family":"De Martino","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2019,3,8]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.tics.2015.07.005","article-title":"Resolving ambiguities of MVPA using explicit models of representation","volume":"19","author":"T Naselaris","year":"2016","journal-title":"Trends Cogn Sci"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.jmp.2016.06.009","article-title":"A primer on encoding models in sensory neuroscience","volume":"76","author":"MAJ van Gerven","year":"2017","journal-title":"J Math Psychol"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.neuroimage.2007.09.034","article-title":"Population receptive field estimates in human visual cortex","volume":"39","author":"SO Dumoulin","year":"2008","journal-title":"Neuroimage"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"14205 LP","DOI":"10.1523\/JNEUROSCI.1388-12.2012","article-title":"Processing of Natural Sounds in Human Auditory Cortex: Tonotopy, Spectral Tuning, and Relation to Voice Sensitivity","volume":"32","author":"M Moerel","year":"2012","journal-title":"J Neurosci"},{"key":"ref5","article-title":"Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis","author":"J Diedrichsen","year":"2017","journal-title":"PLoS Computational Biology"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1038\/nature06713","article-title":"Identifying natural images from human brain activity","volume":"452","author":"KN Kay","year":"2008","journal-title":"Nature"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003412","article-title":"Encoding of Natural Sounds at Multiple Spectral and Temporal Resolutions in the Human Auditory Cortex","volume":"10","author":"R Santoro","year":"2014","journal-title":"PLoS Comput Biol"},{"key":"ref8","first-page":"366","article-title":"NeuroImage The impact of ultra-high fi eld MRI on cognitive and computational neuroimaging","volume":"168","author":"F De Martino","year":"2018","journal-title":"NeuroImage The impact of ultra-high fi eld MRI on cognitive and computational neuroimaging"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"135","DOI":"10.3389\/fncom.2015.00135","article-title":"Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas","volume":"9","author":"MD Lescroart","year":"2015","journal-title":"Front Comput Neurosci"},{"key":"ref10","first-page":"1","article-title":"Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization","volume":"8","author":"H Wen","year":"2018","journal-title":"Sci Rep"},{"key":"ref11","first-page":"1","article-title":"PLOS Computational Biology The Representation of Prediction Error in Auditory Cortex","volume":"12","author":"I Nelken","year":"2016","journal-title":"PLoS Comput Biol"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.neuron.2018.03.044","article-title":"A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy","volume":"98","author":"AJE Kell","year":"2018","journal-title":"Neuron"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"6539","DOI":"10.1523\/JNEUROSCI.3267-16.2017","article-title":"The Hierarchical Cortical Organization of Human Speech Processing","volume":"37","author":"WA de Heer","year":"2017","journal-title":"J Neurosci"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1002\/hbm.23909","article-title":"Intraclass correlation: Improved modeling approaches and applications for neuroimaging","volume":"39","author":"G Chen","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"e1005604","DOI":"10.1371\/journal.pcbi.1005604","article-title":"Adjudicating between face-coding models with individual-face fMRI responses","volume":"13","author":"JD Carlin","year":"2017","journal-title":"PLOS Comput Biol"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1152\/jn.00105.2013","article-title":"Compressive spatial summation in human visual cortex","volume":"110","author":"KN Kay","year":"2013","journal-title":"J Neurophysiol"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1088\/0954-898X_15_2_002","article-title":"Quantifying variability in neural responses and its application for the validation of model predictions","volume":"15","author":"A Hsu","year":"2004","journal-title":"Netw Comput Neural Syst"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1210","DOI":"10.1016\/j.neuron.2012.10.014","article-title":"A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain","volume":"76","author":"AG Huth","year":"2017","journal-title":"Neuron"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1002\/hbm.460020402","article-title":"Statistical parametric maps in functional imaging: a general linear approach","volume":"2","author":"KJ Friston","year":"1995","journal-title":"Hum Brain Mapp"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1016\/j.neuroimage.2012.01.133","article-title":"The general linear model and fMRI: Does love last forever?","volume":"62","author":"JB Poline","year":"2012","journal-title":"Neuroimage"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fnhum.2011.00028","article-title":"Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach","volume":"5","author":"M. Monti","year":"2011","journal-title":"Front Hum Neurosci"},{"key":"ref22","first-page":"45","article-title":"Analysis of fMRI time-series revisited","author":"KJ Worsley","year":"1995","journal-title":"NeuroImage"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.neuron.2007.05.031","article-title":"Hierarchical Coding of Letter Strings in the Ventral Stream: Dissecting the Inner Organization of the Visual Word-Form System","volume":"55","author":"F Vinckier","year":"2007","journal-title":"Neuron"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"3733","DOI":"10.1093\/bioinformatics\/bti612","article-title":"Statistical challenges in the analysis of two-dimensional difference gel electrophoresis experiments using DeCyder???","volume":"21","author":"IK Fodor","year":"2005","journal-title":"Bioinformatics"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.neuroimage.2015.12.012","article-title":"Reliability of dissimilarity measures for multi-voxel pattern analysis","volume":"137","author":"A Walther","year":"2016","journal-title":"Neuroimage"},{"key":"ref26","author":"CM Bishop","year":"2006"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.neuroimage.2018.01.047","article-title":"Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling","volume":"172","author":"S Adaszewski","year":"2018","journal-title":"Neuroimage"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fncom.2016.00010","article-title":"Measuring the Performance of Neural Models","volume":"10","author":"O Schoppe","year":"2016","journal-title":"Front Comput Neurosci"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.bpsc.2016.12.004","article-title":"Internal Consistency of Functional Magnetic Resonance Imaging and Electroencephalography Measures of Reward in Late Childhood and Early Adolescence","volume":"2","author":"KR Luking","year":"2017","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1016\/j.neuroimage.2005.04.039","article-title":"Detecting and adjusting for artifacts in fMRI time series data","volume":"27","author":"J Diedrichsen","year":"2005","journal-title":"Neuroimage"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.neuroimage.2015.03.076","article-title":"Improving the reliability of single-subject fMRI by weighting intra-run variability","volume":"114","author":"F de Bertoldi","year":"2015","journal-title":"Neuroimage"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.neuroimage.2016.10.024","article-title":"Variance decomposition for single-subject task-based fMRI activity estimates across many sessions","volume":"154","author":"J Gonzalez-Castillo","year":"2017","journal-title":"Neuroimage"},{"key":"ref33","first-page":"432","article-title":"NeuroImage T 1 weighted brain images at 7 Tesla unbiased for Proton Density, T 2 \u204e contrast and RF coil receive B 1 sensitivity with simultaneous vessel visualization","volume":"46","author":"P Van De Moortele","year":"2009","journal-title":"NeuroImage T 1 weighted brain images at 7 Tesla unbiased for Proton Density, T 2 \u204e contrast and RF coil receive B 1 sensitivity with simultaneous vessel visualization"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1002\/hbm.20249","article-title":"Analysis of Functional Image Analysis Contest (FIAC) data with BrainVoyager QX: From single-subject to cortically aligned group General Linear Model analysis and self-organizing group Independent Component Analysis","volume":"27","author":"R Goebel","year":"2006","journal-title":"Hum Brain Mapp"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.neuroimage.2010.07.073","article-title":"Encoding and decoding in fMRI","volume":"56","author":"T Naselaris","year":"2011","journal-title":"Neuroimage"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1098\/rstb.2016.0278","article-title":"Inferring brain-computational mechanisms with models of activity measurements","volume":"371","author":"N Kriegeskorte","year":"2016","journal-title":"Philos Trans R Soc B Biol Sci"},{"key":"ref37","first-page":"1","article-title":"Modeling the dynamics of human brain activity with recurrent neural networks","volume":"11","author":"U G\u00fc\u00e7l\u00fc","year":"2016","journal-title":"Modeling the dynamics of human brain activity with recurrent neural networks"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.neuroimage.2016.04.060","article-title":"Category-selective patterns of neural response in the ventral visual pathway in the absence of categorical information","volume":"135","author":"DD Coggan","year":"2016","journal-title":"Neuroimage"},{"key":"ref39","first-page":"266585","article-title":"Stability of representational geometry across a wide range of fMRI activity levels","author":"SA Arbuckle","year":"2018","journal-title":"bioRxiv"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.neuroimage.2016.02.019","article-title":"Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG","volume":"132","author":"SG Wardle","year":"2016","journal-title":"Neuroimage"},{"key":"ref41","first-page":"e1003553","article-title":"PLoS Comput Biol","volume":"10","author":"H Nili","year":"2014"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1006397","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T00:00:00Z","timestamp":1553040000000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006397","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,9]],"date-time":"2020-05-09T00:12:19Z","timestamp":1588983139000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006397"}},"subtitle":[],"editor":[{"given":"J\u00f6rn","family":"Diedrichsen","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,3,8]]},"references-count":41,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,3,8]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1006397","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/377101","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,8]]}}}