[11] Kun Chen, Tianli Xie, Li Ma, Andrew E Hudson, Qingsong Ai, and Quan Liu. "A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis". In: IEEE Transactions on Neural Systems and Rehabilitation Engineering 30 (2022), pp. 2077-2087.
[12] Yuqian Chen, Fan Zhang, Leo R Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, and Lauren J O'Donnell. "TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography". In: arXiv preprint arXiv:2301.01911 (2023).
[13] Kyunghyun Cho, Bart Van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. "On the properties of neural machine translation: Encoder-decoder approaches". In: arXiv preprint arXiv:1409.1259 (2014).
[14] Rainer Dahlhaus. "Graphical interaction models for multivariate time series". In: Metrika 51 (2000), pp. 157-172.
[15] Janis J Daly and Jonathan R Wolpaw. "Brain-computer interfaces in neurological rehabilitation". In: The Lancet Neurology 7.11 (2008), pp. 1032-1043.
[16] Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. "Bert: Pre-training of deep bidirectional transformers for language understanding". In: arXiv preprint arXiv:1810.04805 (2018).
[17] Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, and Cuntai Guan. "LGGNet: Learning from local-global-graph representations for brain-computer interface". In: IEEE Transactions on Neural Networks and Learning Systems (2023).
[18] Matthew Dowling, Yuan Zhao, and Il Memming Park. "Real-time variational method for learning neural trajectory and its dynamics". In: The Eleventh International Conference on Learning Representations.
[19] Katie A Ferguson and Jessica A Cardin. "Mechanisms underlying gain modulation in the cortex". In: Nature Reviews Neuroscience 21.2 (2020), pp. 80-92.
[20] Robert D Flint, Christian Ethier, Emily R Oby, Lee E Miller, and Marc W Slutzky. "Local field potentials allow accurate decoding of muscle activity". In: Journal of neurophysiology 108.1 (2012), pp. 18-24.
[21] Cecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, Lee E Miller, and Juan Álvaro Gallego. "Dataset from "Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner". In:(). DOI: 10.5061/dryad.xd2547dkt. URL: https://doi.org/10.5061/dryad.xd2547dkt.
[22] Cecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, Lee E Miller, and Juan Álvaro Gallego. "Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner". In: *Elife* 11 (2022), e73155.
[23] Yuanjun Gao, Evan W Archer, Liam Paninski, and John P Cunningham. "Linear dynamical neural population models through nonlinear embeddings". In: Advances in neural information processing systems 29 (2016).
[24] Felix A Gers, Nicol N Schraudolph, and Jürgen Schmidhuber. "Learning precise timing with LSTM recurrent networks". In: Journal of machine learning research 3.Aug (2002), pp. 115-143.
[25] Lukas N Groschner, Jonatan G Malis, Birte Zuidinga, and Alexander Borst. "A biophysical account of multiplication by a single neuron". In: Nature 603.7899 (2022), pp. 119-123.
[26] Sepp Hochreiter and Jürgen Schmidhuber. “Long short-term memory”. In: Neural computation 9.8 (1997), pp. 1735–1780.
[27] Alan L Hodgkin and Andrew F Huxley. “A quantitative description of membrane current and its application to conduction and excitation in nerve”. In: The Journal of physiology 117.4 (1952), p. 500.
[28] Kejia Hu, Mohsen Jamali, Ziev B Moses, Carlos A Ortega, Gabriel N Friedman, Wendong Xu, and Ziv M Williams. "Decoding unconstrained arm movements in primates using high-density electrocorticography signals for brain-machine interface use". In: Scientific reports 8.1 (2018), pp. 1-13.
[29] Yicong Huang and Zhuliang Yu. "Representation Learning for Dynamic Functional Connectivities via Variational Dynamic Graph Latent Variable Models". In: Entropy 24.2 (2022), p. 152.