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Several popular Transformer based language models have been found to be successful for text-driven brain encoding.
Mariya Toneva and Leila Wehbe. 2019 · 1905
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The role of left inferior frontal and superior temporal cortex in sentence comprehension: localizing syntactic and semantic processes
Angela D Friederici, Shirley-Ann Rüschemeyer, Anja Hahne, and Christian J Fiebach. 2003 · 2003
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Sentence complexity and input modality effects in sentence comprehension: an fmri study
R Todd Constable, Kenneth R Pugh, Ella Berroya, W Einar Mencl, Michael Westerveld, Weijia Ni, and Donald Shankweiler. 2004 · 2004
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Predicting human brain activity associated with the meanings of nouns
Tom M Mitchell, Svetlana V Shinkareva, Andrew Carlson, Kai-Min Chang, Vicente L Malave, Robert A Mason, and Marcel Adam Just. 2008 · 2008
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Time for some a priori thinking about post hoc testing
Graeme D Ruxton and Guy Beauchamp. 2008 · 2008
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Where is the semantic system? a critical review and meta-analysis of 120 functional neuroimaging studies
Jeffrey R Binder, Rutvik H Desai, William W Graves, and Lisa L Conant. 2009 · 2009
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Brain activation for reading and listening comprehension: An fmri study of modality effects and individual differences in language comprehension
Augusto Buchweitz, Robert A Mason, Lêda Tomitch, and Marcel Adam Just. 2009 · 2009
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Lexical and syntactic representations in the brain: an fmri investigation with multi-voxel pattern analyses
Evelina Fedorenko, Alfonso Nieto-Castanon, and Nancy Kanwisher. 2012 · 2012
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Using wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments
Francisco Pereira, Matthew Botvinick, and Greg Detre. 2013 · 2013
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Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
Leila Wehbe, Brian Murphy, Partha Talukdar, Alona Fyshe, Aaditya Ramdas, and Tom Mitchell. 2014 · 2014
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Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel LK Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, and James J DiCarlo. 2014 · 2014
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Word statistics in large-scale texts explain the human cortical semantic representation of objects, actions, and impressions
Satoshi Nishida, Alexander G Huth, Jack L Gallant, and Shinji Nishimoto. 2015 · 2015
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A multi-modal parcellation of human cerebral cortex
Matthew F Glasser, Timothy S Coalson, Emma C Robinson, Carl D Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F Beckmann, Mark Jenkinson, et al. 2016 · 2016
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How concepts are encoded in the human brain: a modality independent, category-based cortical organization of semantic knowledge
Giacomo Handjaras, Emiliano Ricciardi, Andrea Leo, Alessandro Lenci, Luca Cecchetti, Mirco Cosottini, Giovanna Marotta, and Pietro Pietrini. 2016 · 2016
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Natural speech reveals the semantic maps that tile human cerebral cortex
Alexander G Huth, Wendy A De Heer, Thomas L Griffiths, Frédéric E Theunissen, and Jack L Gallant. 2016 · 2016
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Decoding of generic mental representations from functional mri data using word embeddings
Francisco Pereira, Bin Lou, Brianna Pritchett, Nancy Kanwisher, Matthew Botvinick, and Evelina Fedorenko. 2016 · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Predicting the brain activation pattern associated with the propositional content of a sentence: Modeling neural representations of events and states
Jing Wang, Vladimir L Cherkassky, and Marcel Adam Just. 2017 · 2017
Cited alongside, same era.
Incorporating context into language encoding models for fmri
Shailee Jain and Alexander G Huth. 2018 · 2018
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fmri semantic category decoding using linguistic encoding of word embeddings
Subba Reddy Oota, Naresh Manwani, and Raju S Bapi. 2018 · 2018
Cited alongside, same era.
Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, and Leila Wehbe. 2019 · 2019
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Towards sentence-level brain decoding with distributed representations
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. 2019 · 2019
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Neural taskonomy: Inferring the similarity of task-derived representations from brain activity
Aria Wang, Michael Tarr, and Leila Wehbe. 2019 · 2019
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Decoding individual identity from brain activity elicited in imagining common experiences
Andrew James Anderson, Kelsey McDermott, Brian Rooks, Kathi L Heffner, David Dodell-Feder, and Feng V Lin. 2020 · 2020
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A map of object space in primate inferotemporal cortex
Pinglei Bao, Liang She, Mason McGill, and Doris Y Tsao. 2020 · 2020
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Toward a universal decoder of linguistic meaning from brain activation
Francisco Pereira, Bin Lou, Brianna Pritchett, Samuel Ritter, Samuel J Gershman, Nancy Kanwisher, Matthew Botvinick, and Evelina Fedorenko. 2018 · 2018
Cited alongside, same era.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
An integrated neural decoder of linguistic and experiential meaning
Andrew James Anderson, Jeffrey R Binder, Leonardo Fernandino, Colin J Humphries, Lisa L Conant, Rajeev DS Raizada, Feng Lin, and Edmund C Lalor. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Linking artificial and human neural representations of language
Jon Gauthier and Roger Levy. 2019 · 2019
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Cognival: A framework for cognitive word embedding evaluation
Nora Hollenstein, Antonio de la Torre, Nicolas Langer, and Ce Zhang. 2019 · 2019
Cited alongside, same era.
Relating simple sentence representations in deep neural networks and the brain
S Jat, H Tang, P Talukdar, and T Mitchel. 2020 · 2019
Cited alongside, same era.
Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
Julia Berezutskaya, Zachary V Freudenburg, Luca Ambrogioni, Umut Güçlü, Marcel AJ van Gerven, and Nick F Ramsey. 2020 · 2020
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Lack of selectivity for syntax relative to word meanings throughout the language network
Evelina Fedorenko, Idan Asher Blank, Matthew Siegelman, and Zachary Mineroff. 2020 · 2020
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Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space
Samuel A Nastase, Yun-Fei Liu, Hanna Hillman, Kenneth A Norman, and Uri Hasson. 2020 · 2020
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Narratives: fmri data for evaluating models of naturalistic language comprehension
Samuel A Nastase, Yun-Fei Liu, Hanna Hillman, Asieh Zadbood, Liat Hasenfratz, Neggin Keshavarzian, Janice Chen, Christopher J Honey, Yaara Yeshurun, Mor Regev, et al. 2021 · 2020
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Neural encoding and decoding with distributed sentence representations
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. 2020 · 2020
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Modeling task effects on meaning representation in the brain via zero-shot meg prediction
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, and Tom M Mitchell. 2020 · 2020
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Fine-grained neural decoding with distributed word representations
Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin, and Chengqing Zong. 2020 · 2020
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Low-dimensional structure in the space of language representations is reflected in brain responses
Richard Antonello, Javier Turek, Vy Vo, and Alexander Huth. 2021 · 2021
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Visual and linguistic semantic representations are aligned at the border of human visual cortex
Sara F Popham, Alexander G Huth, Natalia Y Bilenko, Fatma Deniz, James S Gao, Anwar O Nunez-Elizalde, and Jack L Gallant. 2021 · 2021
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The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing
Martin Schrimpf, Idan Blank, Greta Tuckute, Carina Kauf, Eghbal A Hosseini, Nancy Kanwisher, Joshua Tenenbaum, and Evelina Fedorenko. 2021 · 2021
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