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Progress in natural language processing (NLP) models that estimate representations of word sequences has recently been leveraged to improve the understanding of language processing in the brain.
What does bert look at? an analysis of bert’s attention
Clark, K., Khandelwal, U., Levy, O., and Manning, C. D. (2019) · 1906
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Interactions between sentence context and word frequencyinevent-related brainpotentials
Van Petten, C. and Kutas, M. (1990) · 1990
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Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
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Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · 1998
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Harry Potter and the Sorcerer’s Stone
Rowling, J. K. (1999) · 1999
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Suppression of interference and artifacts by the signal space separation method
Taulu, S., Kajola, M., and Simola, J. (2004) · 2004
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Spatiotemporal signal space separation method for rejecting nearby interference in meg measurements
Taulu, S. and Simola, J. (2006) · 2006
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Identifying natural images from human brain activity
Kay, K. N., Naselaris, T., Prenger, R. J., and Gallant, J. L. (2008) · 2008
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Predicting human brain activity associated with the meanings of nouns
Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., Mason, R. A., and Just, M. A. (2008) · 2008
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New method for fmri investigations of language: defining rois functionally in individual subjects
Fedorenko, E., Hsieh, P.-J., Nieto-Castañón, A., Whitfield-Gabrieli, S., and Kanwisher, N. (2010) · 2010
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Reconstructing visual experiences from brain activity evoked by natural movies
Nishimoto, S., Vu, A., Naselaris, T., Benjamini, Y., Yu, B., and Gallant, J. (2011) · 2011
Cited alongside, same era.
Thought recognition: predicting and decoding brain activity using the zero-shot learning model
Palatucci, M. M. (2011) · 2011
Cited alongside, same era.
Freesurfer
Fischl, B. (2012) · 2012
Cited alongside, same era.
Selecting corpus-semantic models for neurolinguistic decoding
Murphy, B., Talukdar, P., and Mitchell, T. (2012) · 2012
Cited alongside, same era.
Reworking the language network
Fedorenko, E. and Thompson-Schill, S. L. (2014) · 2014
Cited alongside, same era.
Interpretable semantic vectors from a joint model of brain-and text-based meaning
Fyshe, A., Talukdar, P. P., Murphy, B., and Mitchell, T. M. (2014) · 2014
Cited alongside, same era.
Natural speech reveals the semantic maps that tile human cerebral cortex
Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E., and Gallant, J. L. (2016) · 2016
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Brainzoom: High resolution reconstruction from multi-modal brain signals
Fu, X., Huang, K., Stretcu, O., Song, H. A., Papalexakis, E., Talukdar, P., Mitchell, T., Sidiropoulo, N., Faloutsos, C., and Poczos, B. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I. (2017) · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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Electrophysiological source imaging: a noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., and Liu, Z. (2018) · 2018
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Aligning context-based statistical models of language with brain activity during reading
Wehbe, L., Vaswani, A., Knight, K., and Mitchell, T. M. (2014a) · 2014
Cited alongside, same era.
Pycortex: an interactive surface visualizer for fmri
Gao, J. S., Huth, A. G., Lescroart, M. D., and Gallant, J. L. (2015) · 2015
Cited alongside, same era.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., and Fidler, S. (2015) · 2015
Cited alongside, same era.
Similarity-based fusion of meg and fmri reveals spatio-temporal dynamics in human cortex during visual object recognition
Cichy, R. M., Pantazis, D., and Oliva, A. (2016) · 2016
Cited alongside, same era.
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
Wehbe, L., Murphy, B., Talukdar, P., Fyshe, A., Ramdas, A., and Mitchell, T. M. (2014b)
Cited in the paper.
Incorporating context into language encoding models for fmri
Jain, S. and Huth, A. (2018) · 2018
Later among the works it cites.
Toward a universal decoder of linguistic meaning from brain activation
Pereira, F., Lou, B., Pritchett, B., Ritter, S., Gershman, S. J., Kanwisher, N., Botvinick, M., and Fedorenko, E. (2018) · 2018
Later among the works it cites.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., and Bowman, S. R. (2018) · 2018
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Understanding language-elicited eeg data by predicting it from a fine-tuned language model
Schwartz, D. and Mitchell, T. (2019) · 2019
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