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Neural Language Models (NLMs) have made tremendous advances during the last years, achieving impressive performance on various linguistic tasks.
Teoria statistica delle classi e calcolo delle probabilita
Bonferroni, C · 1936
Earlier work this paper cites.
Long short-term memory
Hochreiter, S. and Schmidhuber, J · 1997
Earlier work this paper cites.
Mindware: An introduction to the philosophy of cognitive science
Clark, A · 2000
Earlier work this paper cites.
Theoretical neuroscience: computational and mathematical modeling of neural systems
Dayan, P. and Abbott, L. F · 2005
Earlier work this paper cites.
Statistical Parametric Mapping: the analysis of functional brain images
Friston, K. J. (ed.) · 2007
Earlier work this paper cites.
Predicting human brain activity associated with the meanings of nouns
Mitchell, T., Shinkareva, S., Carlson, A., Chang, K.-M., Malave, V., Mason, R., and Just, M · 2008
Earlier work this paper cites.
Encoding and decoding in fMRI
Naselaris, T., Kay, K. N., Nishimoto, S., and Gallant, J. L · 2010
Earlier work this paper cites.
The Little Prince/Le Petit Prince
Eckert-Boulet, N · 2011
Earlier work this paper cites.
Topographic Mapping of a Hierarchy of Temporal Receptive Windows Using a Narrated Story
Lerner, Y., Honey, C. J., Silbert, L. J., and Hasson, U · 2011
Earlier work this paper cites.
A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading
Price, C. J · 2012
Earlier work this paper cites.
Selective and Invariant Neural Responses to Spoken and Written Narratives
Regev, M., Honey, C. J., Simony, E., and Hasson, U · 2013
Cited alongside, same era.
Glove: Global Vectors for Word Representation
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Cited alongside, same era.
Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses
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Cited alongside, same era.
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Chen, P.-H. C., Chen, J., Yeshurun, Y., Hasson, U., Haxby, J., and Ramadge, P. J · 2015
Cited alongside, same era.
Neurobiology of language
Hickok, G. and Small, S. L · 2015
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
Language models are unsupervised multitask learners
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., and others · 2019
Later among the works it cites.
Language processing in brains and deep neural networks: computational convergence and its limits
Caucheteux, C. and King, J.-R · 2020
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Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., Jansen, A., Gazula, H., Choe, G., Rao, A., Kim, S. C., Casto, C., Fanda, L., Doyle, W., Friedman, D., Dugan, P., Melloni, L., Reichart, R., Devore, S., Flinker, A., Hasenfratz, L., Levy, O., Hassidim, A., Brenner, M., Matias, Y., Norman, K. A., Devinsky, O., and Hasson, U · 2020
Later among the works it cites.
Interpretable multi-timescale models for predicting fmri responses to continuous natural speech
Jain, S., Vo, V. A., Mahto, S., LeBel, A., Turek, J. S., and Huth, A. G · 2020
Later among the works it cites.
Modeling task effects on meaning representation in the brain via zero-shot meg prediction
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Incorporating context into language encoding models for fmri
Jain, S. and Huth, A · 2018
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Predictive models avoid excessive reductionism in cognitive neuroimaging
Varoquaux, G. and Poldrack, R. A · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2019
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Text genre and training data size in human-like parsing
Hale, J., Kuncoro, A., Hall, K., Dyer, C., and Brennan, J · 2019
Cited alongside, same era.
Toneva, M., Stretcu, O., Poczos, B., Wehbe, L., and Mitchell, T. M · 2020
Later among the works it cites.
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
Caucheteux, C., Gramfort, A., and King, J.-R · 2021
Later among the works it cites.
Disentangling Syntax and Semantics in the Brain with Deep Networks
Caucheteux, C., Gramfort, A., and King, J.-R · 2021
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The neural architecture of language: Integrative modeling converges on predictive processing
Schrimpf, M., Blank, I. A., Tuckute, G., Kauf, C., Hosseini, E. A., Kanwisher, N., Tenenbaum, J. B., and Fedorenko, E · 2021
Later among the works it cites.
Neurocomputational models of language processing
Hale, J. T., Campanelli, L., Li, J., Bhattasali, S., Pallier, C., and Brennan, J. R · 2022
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