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Brain Signals, such as Electroencephalography (EEG), and human languages have been widely explored independently for many downstream tasks, however, the connection between them has not been well explored.
Advancing nlp with cognitive language processing signals
Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, and Ce Zhang. 2019 · 1904
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Mariya Toneva and Leila Wehbe. 2019 · 1905
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Hierarchical optimal transport for multimodal distribution alignment
John Lee, Max Dabagia, Eva L. Dyer, and Christopher J. Rozell. 2019 · 1906
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 1907
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Multimodal emotion recognition using deep canonical correlation analysis
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, and Bao-Liang Lu. 2019a · 1908
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Zuco 2.0: A dataset of physiological recordings during natural reading and annotation
Nora Hollenstein, Marius Troendle, Ce Zhang, and Nicolas Langer. 2020b · 1912
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The elements of statistical learning: Data mining, inference, and prediction
David Ruppert. 2004 · 2004
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Theta responses are involved in lexical-semantic retrieval during language processing
Marcel C. M. Bastiaansen, Marieke van der Linden, Mariken Ter Keurs, Ton Dijkstra, and Peter Hagoort. 2005 · 2005
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. J. Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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Framewise phoneme classification with bidirectional lstm and other neural network architectures
Alex Graves and Jürgen Schmidhuber. 2005 · 2005
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Graph optimal transport for cross-domain alignment
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, and Jingjing Liu. 2020 · 2006
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Advancing weakly supervised cross-domain alignment with optimal transport
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, and Lawrence Carin. 2020 · 2008
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Remembering the details: Effects of emotion
Elizabeth A. Kensinger. 2009 · 2009
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Emotion classification based on gamma-band eeg
Mu Li and Bao-Liang Lu. 2009 · 2009
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The eeg/erp technologies in linguistic research
Brigitte Stemmer and John Connolly. 2012 · 2012
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Deep canonical correlation analysis
Galen Andrew, Raman Arora, Jeff Bilmes, and Karen Livescu. 2013 · 2013
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Brain-based translation: fmri decoding of spoken words in bilinguals reveals language-independent semantic representations in anterior temporal lobe
J. Correia, E. Formisano, G. Valente, L. Hausfeld, B. Jansma, and M. Bonte. 2013 · 2013
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A multi-view embedding space for modeling internet images, tags, and their semantics
Yunchao Gong, Qifa Ke, Michael Isard, and Svetlana Lazebnik. 2013 · 2013
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Aligning context-based statistical models of language with brain activity during reading
Leila Wehbe, Ashish Vaswani, Kevin Knight, and Tom Mitchell. 2014 · 2014
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Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Attention-based bidirectional long short-term memory networks for relation classification
P. Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu. 2016 · 2016
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Multimodal deep learning approach for joint eeg-emg data compression and classification
Ahmed Ben Said, Amr Mohamed, Tarek Elfouly, Khaled Harras, and Z. Jane Wang. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Ecg and eeg based multimodal biometrics for human identification
Khayrul Bashar. 2018 · 2018
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Does the brain represent words? an evaluation of brain decoding studies of language understanding
Jon Gauthier and Anna A. Ivanova. 2018 · 2018
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Zuco, a simultaneous eeg and eye-tracking resource for natural sentence reading
Nora Hollenstein, Jonathan Rotsztejn, Marius Troendle, Andreas Pedroni, Ce Zhang, and Nicolas Langer. 2018 · 2018
Cited alongside, same era.
Multi-view emotion recognition using deep canonical correlation analysis
Jie-Lin Qiu, W. Liu, and Bao-Liang Lu. 2018 · 2018
Cited alongside, same era.
Combining computational controls with natural text reveals new aspects of meaning composition
Mariya Toneva, Tom. Mitchell, and Leila Wehbe. 2020 · 2020
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Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
Leila Wehbe, Idan Asher Blank, Cory Shain, Richard Futrell, Roger Philip Levy, Titus von der Malsburg, Nathaniel J. Smith, Edward Gibson, and Evelina Fedorenko. 2020 · 2020
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Improving bi-encoder document ranking models with two rankers and multi-teacher distillation
Jaekeol Choi, Euna Jung, Jangwon Suh, and Wonjong Rhee. 2021 · 2021
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Semantic representations during language comprehension are affected by context
Fatma Deniz, Christine Tseng, Leila Wehbe, and Jack L. Gallant. 2021 · 2021
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Cross-subject eeg-based emotion recognition through neural networks with stratified normalization
Javier Fdez, Nicholas Guttenberg, Olaf Witkowski, and Antoine Pasquali. 2021 · 2021
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Investigating sex differences in classification of five emotions from eeg and eye movement signals
Lan-Qing Bao, Jie-Lin Qiu, Hao Tang, Wei-Long Zheng, and Bao-Liang Lu. 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
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Multimodal emotion recognition from eye image, eye movement and eeg using deep neural networks
Jiang-Jian Guo, Rong Zhou, Li-Ming Zhao, and Bao-Liang Lu. 2019 · 2019
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Text genre and training data size in human-like parsing
John Hale, Adhiguna Kuncoro, Keith B. Hall, Chris Dyer, and Jonathan Brennan. 2019 · 2019
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Parallel weighted random sampling
Lorenz Hübschle-Schneider and Peter Sanders. 2019 · 2019
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From broca and wernicke to the neuromodulation era: Insights of brain language networks for neurorehabilitation
Grigorios Nasios, Efthymios Dardiotis, and Lambros Messinis. 2019 · 2019
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Neuroanatomy, occipital lobe
Amna Rehman and Yasir Al Khalili. 2019 · 2019
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Using eeg to decode semantics during an artificial language learning task
Chris Foster, Chad C. Williams, Olave E. Krigolson, and Alona Fyshe. 2021 · 2021
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Decoding eeg brain activity for multi-modal natural language processing
Nora Hollenstein, Cédric Renggli, Benjamin James Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, and Ce Zhang. 2021 · 2021
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Functional specialization within the inferior parietal lobes across cognitive domains
Ole Numssen, Danilo Bzdok, and Gesa Hartwigsen. 2021 · 2021
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Deep learning multimodal fnirs and eeg signals for bimanual grip force decoding
Pablo Ortega and A. Aldo Faisal. 2021 · 2021
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Incorporating interpersonal synchronization features for automatic emotion recognition from visual and audio data during communication
Jingyu Quan, Yoshihiro Miyake, and Takayuki Nozawa. 2021 · 2021
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Can fmri reveal the representation of syntactic structure in the brain?
Aniketh Janardhan Reddy and Leila Wehbe. 2021 · 2021
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Neural decoding of eeg signals with machine learning: A systematic review
Maham Saeidi, Waldemar Karwowski, Farzad Vasheghani Farahani, Krzysztof Fiok, Redha Taiar, Peter A. Hancock, and Awad Al-Juaid. 2021 · 2021
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Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification
Zhenhailong Wang and Heng Ji. 2021 · 2021
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Behavior measures are predicted by how information is encoded in an individual’s brain
Jennifer Williams and Leila Wehbe. 2021 · 2021
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Sigrep: Toward robust wearable emotion recognition with contrastive representation learning
Vipula Dissanayake, Sachith Seneviratne, Rajib Rana, Elliott Wen, Tharindu Kaluarachchi, and Suranga Nanayakkara. 2022 · 2022
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Etst: Eeg transformer for person identification
Yang Du, Yongling Xu, Xiaoan Wang, Li Liu, and Pengcheng Ma. 2022 · 2022
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Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, and Bao-Liang Lu. 2022 · 2022
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Decoding part-of-speech from human eeg signals
Alex Murphy, Bernd Bohnet, Ryan T. McDonald, and Uta Noppeney. 2022 · 2022
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Mhms: Multimodal hierarchical multimedia summarization
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Mobile emotion recognition via multiple physiological signals using convolution-augmented transformer
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Geoecg: Data augmentation via wasserstein geodesic perturbation for robust electrocardiogram prediction
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