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Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis

Fabian A. Soto, Jennifer G. Waldschmidt, Sebastien Helie, F. Gregory Ashby
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
., Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis, NeuroImage (2013), http://dx.  ...  The present study uses multi-voxel pattern analysis to directly compare the development of automaticity in different categorization tasks.  ...  Acknowledgments Preparation of this article was supported in part by Award Number P01NS044393 from the National Institute of Neurological Disorders and Stroke and by support from the US Army Research Office  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2013.01.008">doi:10.1016/j.neuroimage.2013.01.008</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23333700">pmid:23333700</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3628777/">pmcid:PMC3628777</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/epa3rmoxs5bbnfc7oy6urotqje">fatcat:epa3rmoxs5bbnfc7oy6urotqje</a> </span>
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The neural representation of visually evoked emotion is high-dimensional, categorical, and distributed across transmodal brain regions

Tomoyasu Horikawa, Alan S. Cowen, Dacher Keltner, Yukiyasu Kamitani
<span title="2020-04-17">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5u6jlpnlzndwrequnssxehzurq" style="color: black;">iScience</a> </i> &nbsp;
Here, we sought to identify the neural substrates of this high-dimensional space of emotional experience using fMRI responses to all 2,185 videos.  ...  These results support an emerging theory of the high-dimensional emotion space, illuminating its neural foundations distributed across transmodal regions.  ...  This study was conducted using the MRI scanner and related facilities of Kokoro Research Center, Kyoto University.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.isci.2020.101060">doi:10.1016/j.isci.2020.101060</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32353765">pmid:32353765</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7191651/">pmcid:PMC7191651</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5ruwhnh2pfaohpujkv7vwao5wy">fatcat:5ruwhnh2pfaohpujkv7vwao5wy</a> </span>
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Fast Periodic Auditory Stimulation Reveals a Robust Categorical Response to Voices in the Human Brain

Francesca M Barbero, Roberta P Calce, Siddharth Talwar, Bruno Rossion, Olivier Collignon
<span title="2021-05-19">2021</span> <i title="Society for Neuroscience"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rjgmscj365bdfijeu26tkpn4xa" style="color: black;">eNeuro</a> </i> &nbsp;
Voices are arguably among the most relevant sounds in humans' everyday life, and several studies have suggested the existence of voice-selective regions in the human brain.  ...  Despite two decades of research, defining the human brain regions supporting voice recognition remains challenging.  ...  areas of the brain 281 generators, but limited our attention to compare the voxel-by-voxel activity (i.e. coherence) between the 282 two conditions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1523/eneuro.0471-20.2021">doi:10.1523/eneuro.0471-20.2021</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34016602">pmid:34016602</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8225406/">pmcid:PMC8225406</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lvg3cjaq4nhwrjp3m2dfr7edlq">fatcat:lvg3cjaq4nhwrjp3m2dfr7edlq</a> </span>
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Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults

Joram Soch, Anni Richter, Hartmut Schütze, Jasmin M. Kizilirmak, Anne Assmann, Lea Knopf, Matthias Raschick, Annika Schult, Anne Maass, Gabriel Ziegler, Alan Richardson-Klavehn, Emrah Düzel (+1 others)
<span title="2021-01-29">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
We thereby provide a framework for improving the modeling of encoding-related activations and for applying subsequent memory paradigms to memory-impaired individuals.  ...  Subsequent memory paradigms allow to identify neural correlates of successful encoding by separating brain responses as a function of memory performance during later retrieval.  ...  Acknowledgments The authors would like to thank Adriana Barman, Marieke Klein, Kerstin Möhring, Katja Neumann, Ilona Wiedenhöft, and Claus Tempelmann for assistance with MRI acquisition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2021.117820">doi:10.1016/j.neuroimage.2021.117820</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33524573">pmid:33524573</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6srrntkf5rct5el75paba2dqt4">fatcat:6srrntkf5rct5el75paba2dqt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210528122410/https://pdf.sciencedirectassets.com/272508/1-s2.0-S1053811921X00031/1-s2.0-S1053811921000975/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjELT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCmRguFVdtXsyalDmBPpZ%2B2YHZcFXOsZuxjhrFBpA2CIQIhAIx%2FuPjU7zJ4HSPWmTay8ULb8B6w%2BgDXR0jKpVnYysBdKvoDCF0QAxoMMDU5MDAzNTQ2ODY1IgwUG%2BEcayEnREbUVgEq1wNY%2BrHuvNuNLgVnGCw%2BW3%2FQHuBS1P%2FJeGIUOX0wZbLMPFQxYSMgJ1qWczQIRxfPOPsWyg4J35cvAVBCUbX0MLrjr094wqyzGw1ofJnVGEn2h%2FQEbYOhebHRPnJhY7hm2yzsAJ6fjcAZiCqzSl9WmB8KsHjcuy7wtDrZqw8m7bpd5ARrh0ow3fSntmQzvo%2BinTvjfuJ0BDj%2ByOTTkKu%2FHbsU1PxB9aadlSt2n50s98CoX%2Bc5NKxjUhW6YT4Dzzdx1j5rKAVCgYfDQozF%2BLTy7KzpwTRWhP8KsonobtKfgLaQIh8xCQZQlyLOEOLRJQenBEGaNUUg7lBvoq4jWft017lWjZJHIZUmZzluY4rxfh7cVT7eZ5rFzhrCsJh66fSO9LtfsYWOA2XB27PV8Ccg1D0ejrAYUcf9VOZRQ4d5TPh3G%2BtCzhdsKW9C2ZSqPqKwPrVIOhoSNiJN1wVfQ9CF72NCdqT9vWxkjpvrgTFrvbuOgpdmyGCy4kAnvhnmzvZNHOJmGbzbOSIbPqq%2B6OfCEIS4kaVg%2BS%2B6V9NuAKo%2BjAH69ZU7YhxMVtw%2F1HDrAh7ViXm0TzkPEs2rJ0iqEVNHpaz4KEM6j2wXKxhOH6DN%2FAfV6AZ3y3ELpOgwubbDhQY6pAHoMND5pdURUrQTBoEwQVBYEDW26skw8xsugp%2FfcgqrwbuIiQ%2FFAAwFRzRFBcTBb6gI7od4zr5Frka1KAuc1k3WUNyxQD4b9UpWtcV0bdyPvC4GSkOrEoKr9Is1Sv78OmWXj7bv2DXuDuWbCLqmPcOIJu6U4BpOXAaC589y3oFbPmp31Qu%2BvNc52%2F42E1QGNkvMSrXGhTs5EOUx5jfK1%2B2C8RPRXQ%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210528T122343Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYXKN6RUQT%2F20210528%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=959b8a7be547163d2b7f45431a6232d72a2ec4d7f76001c5032346ba6fe1865c&amp;hash=95f6070ee5101b0f167a14540303cb8b86373f4ac932f046347f6a3dc773de0c&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1053811921000975&amp;tid=spdf-d8b0d123-d885-4af1-8d7b-bed8d4e13e8c&amp;sid=5600a7bf7193e14f416925672f8dad0c1443gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5d/a3/5da3b83694b798f171c4f62beb8108a2c0c3e405.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2021.117820"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Puddles, Parties, and Professors: Linking Word Categorization to Neural Patterns of Visuospatial Coding

Susanne Quadflieg, Joset A. Etzel, Valeria Gazzola, Christian Keysers, Thomas W. Schubert, Gordon D. Waiter, C. Neil Macrae
<span title="">2011</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rvtepewc6vewtddjhxdnivd43q" style="color: black;">Journal of Cognitive Neuroscience</a> </i> &nbsp;
Using multivoxel pattern analysis, it was found that classifiers that successfully distinguished between the positions of shapes in subregions of the inferior parietal lobe also provided discriminatory  ...  Correlational analyses further revealed that, for location words, pattern transfer was more successful the stronger was participants' propensity to use visual imagery.  ...  Computer time for the classification analysis was provided by the Centre for High-Performance Computing and Visualization at the University of Groningen (the Netherlands) on the HPC Cluster.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/jocn.2011.21628">doi:10.1162/jocn.2011.21628</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21268671">pmid:21268671</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3mkfksxkyrg6fnqds3x4lbaioy">fatcat:3mkfksxkyrg6fnqds3x4lbaioy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829080022/https://repositorio.iscte-iul.pt/bitstream/10071/6938/3/Quadflieg%20JOCN_2011.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/b7/c1b7d8d8e02381ead7571e410a76c9187035747c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/jocn.2011.21628"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

The theory of constructed emotion: an active inference account of interoception and categorization

Lisa Feldman Barrett
<span title="2016-10-19">2016</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kqb2oz4yerdifhjgunfv4pdnoa" style="color: black;">Social Cognitive and Affective Neuroscience</a> </i> &nbsp;
The last two decades of neuroscience research have brought us to the brink of a paradigm shift in understanding the workings of the brain, however, setting the stage to revolutionize our understanding  ...  The science of emotion has been using folk psychology categories derived from philosophy to search for the brain basis of emotion.  ...  Acknowledgements We thank to Ajay Satpute, Amitai Shenhav, Suzanne Oosterwijk and Eliza Bliss-Moreau who read and/or made invaluable comments on an earlier draft of this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/scan/nsw154">doi:10.1093/scan/nsw154</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27798257">pmid:27798257</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5390700/">pmcid:PMC5390700</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vyrtm757and2hkvpotan7ll7pm">fatcat:vyrtm757and2hkvpotan7ll7pm</a> </span>
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BRAIN TUMOR TISSUE CATEGORIZATION IN 3D MAGNETIC RESONANCE IMAGES USING IMPROVED PSO FOR EXTREME LEARNING MACHINE

Baladhandapani Arunadevi, Subramaniam Nachimuthu Deepa
<span title="">2013</span> <i title="EMW Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/754wfr2s4rfjdpqrlhn5a3j6r4" style="color: black;">Progress in Electromagnetics Research B</a> </i> &nbsp;
Moreover, the brain anatomy features and internal tissue architecture of brain tumor are a complex task in case of 3-D anatomy.  ...  Magnetic Resonance Imaging (MRI) technique is one of the most useful diagnostic tools for human soft tissue analysis.  ...  ACKNOWLEDGMENT This work was supported by the Council of Scientific and Industrial Research (CSIR), India. The authors would like to thank Drs. W. Simon, K. Michael, N. Arya, K. Ron, B. Peter and J.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2528/pierb13010202">doi:10.2528/pierb13010202</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rmzwukodcngfhghe5wjh2f2rke">fatcat:rmzwukodcngfhghe5wjh2f2rke</a> </span>
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Bayesian model selection favors parametric over categorical models of the fMRI subsequent memory effect in young and elderly adults [article]

Joram Soch, Anni Richter, Hartmut Schuetze, Jasmin M. Kizilirmak, Anne Assmann, Lea Knopf, Matthias Raschick, Annika Schult, Anne Maass, Gabriel Ziegler, Alan Richardson-Klavehn, Emrah Duezel (+1 others)
<span title="2020-07-29">2020</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We thereby provide a framework for improving the modeling of encoding-related activations and for applying subsequent memory paradigms to memory-impaired individuals.  ...  Subsequent memory paradigms allow to identify neural correlates of successful encoding by separating brain responses as a function of memory performance during later retrieval.  ...  With respect to our present analyses, this means that the categorical models allow for fitting more diverse activation patterns across memory reports, thereby achieving a higher accuracy when fitting the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.07.27.220871">doi:10.1101/2020.07.27.220871</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/judlzodtjnbkrap5rpwcpbtrim">fatcat:judlzodtjnbkrap5rpwcpbtrim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201202063845/https://www.biorxiv.org/content/biorxiv/early/2020/11/07/2020.07.27.220871.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/10/6e10dbeea200a01b22119c732349c8ca9341bf0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.07.27.220871"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Categorization for Faces and Tools—Two Classes of Objects Shaped by Different Experience—Differs in Processing Timing, Brain Areas Involved, and Repetition Effects

Vladimir Kozunov, Anastasia Nikolaeva, Tatiana A. Stroganova
<span title="2018-01-09">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
Altogether, we have demonstrated that activity associated with visual processing of faces and tools during the categorization stage differ in processing timing, brain areas involved, and in their dynamics  ...  Different Feature Binding for Faces and Tools processing in the dorsal network adapted by reducing its activity over the repetition period.  ...  ACKNOWLEDGMENT The authors thank Timothy West at the Wellcome Trust Centre for Neuroimaging, UCL for his comments of the original manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2017.00650">doi:10.3389/fnhum.2017.00650</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29379426">pmid:29379426</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5770807/">pmcid:PMC5770807</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xjx7j22ko5hyji7j2f23ejnm74">fatcat:xjx7j22ko5hyji7j2f23ejnm74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191114031607/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5770807&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/21/79/217926033fc9a7006386a4770c4ab639a005376b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2017.00650"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770807" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz, Hasan Ayaz
<span title="2019-01-25">2019</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population, estimated around 25%.  ...  Analyses directed to detect and elucidate the differences in the SMR activity of these groups were performed.  ...  Acknowledgments The authors would like to thank Sebastian Halder, Eva-Maria Hammer and Simon Scholler for recording part of the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0207351">doi:10.1371/journal.pone.0207351</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30682025">pmid:30682025</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6347432/">pmcid:PMC6347432</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wtepf7p4jbcfde64cgdtlvralm">fatcat:wtepf7p4jbcfde64cgdtlvralm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430175500/https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0207351&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f8/ae/f8ae3fcbfd824ff64cc48ab6b8b5a99b61bd226f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0207351"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347432" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities

Karim Aderghal, Karim Afdel, Jenny Benois-Pineau, Gwénaëlle Catheline
<span title="2020-12-10">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ifjemtdanzevfbtz3nv7p24qjm" style="color: black;">Heliyon</a> </i> &nbsp;
Multi-modal imaging such as structural MRI and DTI provide useful information for the classification of patients on the basis of brain biomarkers.  ...  In this paper, we propose a transfer learning scheme using Convolutional Neural Networks (CNNs) to automatically classify brain scans focusing only on a small ROI: e.g. a few slices of the hippocampal  ...  ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer's Association  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.heliyon.2020.e05652">doi:10.1016/j.heliyon.2020.e05652</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33336093">pmid:33336093</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7733012/">pmcid:PMC7733012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xxe3z3u3rrhgpmarxna7u22ysi">fatcat:xxe3z3u3rrhgpmarxna7u22ysi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527053926/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7733012&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b1/a9/b1a924562db68e9e43c5424df79506ef2af975c4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.heliyon.2020.e05652"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733012" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Committed to Oprah, Homer, or House: Using the investment model to understand parasocial relationships

Sara E. Branch, Kari M. Wilson, Christopher R. Agnew
<span title="">2013</span> <i title="American Psychological Association (APA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/56ve7zwzlbaq5iaelgj4nja37i" style="color: black;">Psychology of Popular Media Culture</a> </i> &nbsp;
Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis. NeuroImage, 71, 284-297.  ...  Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the Weibull distribution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/a0030938">doi:10.1037/a0030938</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zsa5fvl4wjb4vfno62f3pag7va">fatcat:zsa5fvl4wjb4vfno62f3pag7va</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830065640/https://www.purdue.edu/hhs/psy/about/documents/faculty_publications_2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/25/122539046f5a6f24b6e92d00aca46cb887f135ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/a0030938"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Fluidity of Concept Representations in Human Brain Signals [article]

Eva Hendrikx
<span title="2020-02-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we analyze the discriminability of concrete and abstract concepts in fMRI data using a range of analysis methods.  ...  We argue that fluid concept representations lead to more realistic models of human language processing because they better capture the ambiguity and underspecification present in natural language use.  ...  Acknowledgement The work by L. Beinborn was funded by the Netherlands Organisation for Scientific Research (NWO), through a Gravitation Grant (024.001.006) to the Language in Interaction Consortium.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.08880v1">arXiv:2002.08880v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/azvoqd6ktndmfmbfcjewqwdd4u">fatcat:azvoqd6ktndmfmbfcjewqwdd4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321175054/https://arxiv.org/pdf/2002.08880v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.08880v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Expert programmers have fine-tuned cortical representations of source code [article]

Yoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, Shinji Nishimoto
<span title="2020-01-29">2020</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We here address this issue by associating the cortical representation of source code with individual programming expertise using a data-driven decoding approach.  ...  In these brain regions, functional categories of source code could be decoded from brain activity and the decoding accuracies were significantly correlated with individual behavioral performances on source-code  ...  Acknowledgments We thank Takao Nakagawa and Hidetake Uwano for helpful comments on the initial study design.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.01.28.923953">doi:10.1101/2020.01.28.923953</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ua7hwim7vblfam3o6da56o3aq">fatcat:6ua7hwim7vblfam3o6da56o3aq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108113523/https://www.biorxiv.org/content/biorxiv/early/2020/05/19/2020.01.28.923953.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/18/5918da35d828c38cc83b2c9df39ffeaea8e93d99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.01.28.923953"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva
<span title="2016-06-10">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans.  ...  with the brain.  ...  Acknowledgements We thank Chen Yi for assisting in surface-based searchlight analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/srep27755">doi:10.1038/srep27755</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27282108">pmid:27282108</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4901271/">pmcid:PMC4901271</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ijfwlcbs4zgr3li44ttzt74mjy">fatcat:ijfwlcbs4zgr3li44ttzt74mjy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723120150/http://dspace.mit.edu/bitstream/handle/1721.1/103585/Comparison%20of%20deep%20neural.pdf;jsessionid=B4D9262B18A874E9AEBE6665789E7E04?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/16/8a/168a08604d4f4c66e69432b121241a56c978db93.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/srep27755"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901271" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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