Fetching the paper…
Reading the bibliography…
The translation of brain dynamics into natural language is pivotal for brain-computer interfaces (BCIs).
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Electroencephalogram-based control of an electric wheelchair
Kazuo Tanaka, Kazuyuki Matsunaga, and Hua O Wang · 2005
Earlier work this paper cites.
Bci meeting 2005-workshop on bci signal processing: feature extraction and translation
Dennis J McFarland, Charles W Anderson, K-R Muller, Alois Schlogl, and Dean J Krusienski · 2006
Earlier work this paper cites.
Imaging human eeg dynamics using independent component analysis
Julie Onton, Marissa Westerfield, Jeanne Townsend, and Scott Makeig · 2006
Earlier work this paper cites.
Bci for games: A ‘state of the art’ survey
Anton Nijholt · 2009
Earlier work this paper cites.
Brain-controlled telepresence robot by motor-disabled people
Luca Tonin, Tom Carlson, Robert Leeb, and José del R. Millán · 2011
Earlier work this paper cites.
Gaming control using a wearable and wireless eeg-based brain-computer interface device with novel dry foam-based sensors
Lun-De Liao, Chi-Yu Chen, I-Jan Wang, Sheng-Fu Chen, Shih-Yu Li, Bo-Wei Chen, Jyh-Yeong Chang, and Chin-Teng Lin · 2012
Earlier work this paper cites.
Discriminative methods for classification of asynchronous imaginary motor tasks from eeg data
Jaime F Delgado Saa and Müjdat Çetin · 2013
Earlier work this paper cites.
Feature extraction and selection for emotion recognition from eeg
Robert Jenke, Angelika Peer, and Martin Buss · 2014
Earlier work this paper cites.
Brain-to-text: decoding spoken phrases from phone representations in the brain
Christian Herff, Dominic Heger, Adriana De Pesters, Dominic Telaar, Peter Brunner, Gerwin Schalk, and Tanja Schultz · 2015
Earlier work this paper cites.
Classifying phonological categories in imagined and articulated speech
Shunan Zhao and Frank Rudzicz · 2015
Earlier work this paper cites.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Earlier work this paper cites.
Mel frequency cepstral coefficients enhance imagined speech decoding accuracy from eeg
Ciaran Cooney, Rafaella Folli, and Damien Coyle · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Converting your thoughts to texts: Enabling brain typing via deep feature learning of eeg signals
Xiang Zhang, Lina Yao, Quan Z Sheng, Salil S Kanhere, Tao Gu, and Dalin Zhang · 2018
Earlier work this paper cites.
Speech synthesis from neural decoding of spoken sentences
Gopala K Anumanchipalli, Josh Chartier, and Edward F Chang · 2019
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Earlier work this paper cites.
The relative contribution of high-gamma linguistic processing stages of word production, and motor imagery of articulation in class separability of covert speech tasks in eeg data
Amir Jahangiri and Francisco Sepulveda · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Cited alongside, same era.
Manifold-regression to predict from meg/eeg brain signals without source modeling
David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, and Denis A. Engemann · 2019
Cited alongside, same era.
Speak your mind! towards imagined speech recognition with hierarchical deep learning
Pramit Saha, Muhammad Abdul-Mageed, and Sidney Fels · 2019
Cited alongside, same era.
Towards sentence-level brain decoding with distributed representations
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong · 2019
Cited alongside, same era.
wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
Cited alongside, same era.
Review of the emotional feature extraction and classification using eeg signals
Jiang Wang and Mei Wang · 2021
Later among the works it cites.
High-performance brain-to-text communication via handwriting
Francis R Willett, Donald T Avansino, Leigh R Hochberg, Jaimie M Henderson, and Krishna V Shenoy · 2021
Later among the works it cites.
Cross task neural architecture search for eeg signal classifications
Yiqun Duan, Zhen Wang, Yi Li, Jianhang Tang, Yu-Kai Wang, and Chin-Teng Lin · 2022
Later among the works it cites.
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar J Kobler, Jun ichiro Hirayama, Qibin Zhao, and Motoaki Kawanabe · 2022
Later among the works it cites.
Exploring visual interpretability for contrastive language-image pre-training
Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, and Xiaomeng Li · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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, et al · 2020
Cited alongside, same era.
Gpt-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti · 2020
Cited alongside, same era.
Conformer: Convolution-augmented transformer for speech recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, et al · 2020
Cited alongside, same era.
Zuco 2.0: A dataset of physiological recordings during natural reading and annotation
Nora Hollenstein, Marius Troendle, Ce Zhang, and Nicolas Langer · 2020
Cited alongside, same era.
Zuco 2.0: A dataset of physiological recordings during natural reading and annotation
Nora Hollenstein, Marius Troendle, Ce Zhang, and Nicolas Langer · 2020
Cited alongside, same era.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer · 2020
Cited alongside, same era.
Machine translation of cortical activity to text with an encoder–decoder framework
Joseph G Makin, David A Moses, and Edward F Chang · 2020
Cited alongside, same era.
Later among the works it cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Later among the works it cites.
MAtt: A manifold attention network for EEG decoding
Yue-Ting Pan, Jing-Lun Chou, and Chun-Shu Wei · 2022
Later among the works it cites.
Evaluating latent space robustness and uncertainty of EEG-ML models under realistic distribution shifts
Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, and Yogatheesan Varatharajah · 2022
Later among the works it cites.
Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification
Zhenhailong Wang and Heng Ji · 2022
Later among the works it cites.
Single-leader multi-follower games for the regulation of two-sided mobility-as-a-service markets
Haoning Xi, Didier Aussel, Wei Liu, S Travis Waller, and David Rey · 2022
Later among the works it cites.
Differentiable road pricing for environment-oriented electric vehicle and gasoline vehicle users in the bi-objective transportation network
Haoning Xi, Liu He, Yi Zhang, and Zhen Wang · 2022
Later among the works it cites.
Generalizing multimodal variational methods to sets, 2022
Jinzhao Zhou, Yiqun Duan, Zhihong Chen, Yu-Cheng Chang, and Chin-Teng Lin · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Closest in time.
Cross task neural architecture search for eeg signal recognition
Yiqun Duan, Zhen Wang, Yi Li, Jianhang Tang, Yu-Kai Wang, and Chin-Teng Lin · 2023
Closest in time.
Domain-specific denoising diffusion probabilistic models for brain dynamics
Yiqun Duan, Jinzhao Zhou, Zhen Wang, Yu-Cheng Chang, Yu-Kai Wang, and Chin-Teng Lin · 2023
Closest in time.
Clip surgery for better explainability with enhancement in open-vocabulary tasks
Yi Li, Hualiang Wang, Yiqun Duan, and Xiaomeng Li · 2023
Closest in time.
Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang, and Chin-Teng Lin · 2023
Closest in time.
Speech2eeg: Leveraging pretrained speech model for eeg signal recognition
Jinzhao Zhou, Yiqun Duan, Yingying Zou, Yu-Cheng Chang, Yu-Kai Wang, and Chin-Teng Lin · 2023
Closest in time.