AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding | Paper Citation Record

Observation 4a622080-98f3-4bc7-85d1-eac0d42c8a0b · outbound

This paper cites Brain leaks an d consumer neurotechnology,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain leaks an d consumer neurotechnology,

Reference 1

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This paper cites Brain-computer interfaces i n neurological rehabilitation,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain-computer interfaces i n neurological rehabilitation,

Reference 2

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Observation d29e6941-1beb-40b8-8edc-a059194f2947 · outbound

This paper cites Active tactile explorat ion using a brain-machine-brain interface,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Active tactile explorat ion using a brain-machine-brain interface,

Reference 3

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Observation 6d86d527-7e34-40ee-b647-e219ef2ca081 · outbound

This paper cites Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,

Reference 4

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Observation 996d9c5d-6b92-4665-987a-9ac105820800 · outbound

This paper cites A high-performance neuroprosthesis for speech decoding a nd avatar control,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding A high-performance neuroprosthesis for speech decoding a nd avatar control,

Reference 5

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This paper cites Brain computer i nterfaces, a review,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain computer i nterfaces, a review,

Reference 6

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Observation 13499d4f-b0f0-4722-9f33-bf5ab3222866 · outbound

This paper cites Optimizing spatial ﬁlters for robust eeg single-trial ana lysis,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Optimizing spatial ﬁlters for robust eeg single-trial ana lysis,

Reference 7

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Observation 03dfba92-b235-4e7a-af76-ec97ff7526b0 · outbound

This paper cites xDAW N algorithm to enhance evoked potentials: Application to brain–comput er interface,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding xDAW N algorithm to enhance evoked potentials: Application to brain–comput er interface,

Reference 8

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Observation 0fa01522-ce1a-45a7-9269-23e72a8ed6f4 · outbound

This paper cites EEGNet: A compact convolutional neural net work for EEG-based brain-computer interfaces,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEGNet: A compact convolutional neural net work for EEG-based brain-computer interfaces,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.651718Z

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Observation b17a4d58-2230-4ae5-9537-1c74002b5b47 · outbound

This paper cites EEG Conformer: Con volutional transformer for EEG decoding and visualization,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEG Conformer: Con volutional transformer for EEG decoding and visualization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.641367Z

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Observation f290c7e5-1d16-499a-9a85-9c0e3eb54ad2 · outbound

This paper cites Transfer learning for moto r imagery based brain-computer interfaces: A tutorial,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Transfer learning for moto r imagery based brain-computer interfaces: A tutorial,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.630039Z

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Observation 5d4757bd-eed1-4159-8f36-02ed37ee74e0 · outbound

This paper cites Tftl: A task-free transfer learning strategy for eeg-base d cross-subject and cross-dataset motor imagery bci,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Tftl: A task-free transfer learning strategy for eeg-base d cross-subject and cross-dataset motor imagery bci,

Reference 12

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Observation 00254a76-226a-4b0c-8f80-0b3816e154d1 · outbound

This paper cites Language models are few-shot learners,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Language models are few-shot learners,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.601414Z

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Observation 91bac49f-3451-41df-8300-0dbba4b46bf9 · outbound

This paper cites BENDR: Using trans- formers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding BENDR: Using trans- formers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,

Reference 14

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Observation 3960016b-a85d-4844-92ac-3ec529bdc6a3 · outbound

This paper cites BIOT: Biosignal Tra nsformer for cross-data learning in the wild,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding BIOT: Biosignal Tra nsformer for cross-data learning in the wild,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.561300Z

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Observation ea83de34-ed24-4142-afcf-094ee94f10e1 · outbound

This paper cites Large brain model for learning generic representations with tremendous EEG data in BCI,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Large brain model for learning generic representations with tremendous EEG data in BCI,

Reference 16

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Observation 93b167a0-a580-4a9b-a3c6-9d36e86f5806 · outbound

This paper cites EEGPT: Pret rained transformer for universal and reliable representation of e eg signals,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEGPT: Pret rained transformer for universal and reliable representation of e eg signals,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:14.161678Z

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Observation 8457ddb0-cf2c-497e-894b-c872cfb73ad4 · outbound

This paper cites CBramod: A criss-cross brain foundation model for EEG deco ding,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding CBramod: A criss-cross brain foundation model for EEG deco ding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:13.957224Z

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Observation 7676b5e6-95b4-439e-b927-b62c9fbfeae6 · outbound

This paper cites EEG- based discrimination between imagination of right and left hand move- ment,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEG- based discrimination between imagination of right and left hand move- ment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:13.739039Z

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Observation af3850bd-2486-4a21-81b2-8f2e2bc0af9c · outbound

This paper cites Deep learning with convolutional neural networks for EEG d ecoding and visualization,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Deep learning with convolutional neural networks for EEG d ecoding and visualization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:13.581389Z

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Observation fbe1bb45-1529-43fb-bc6b-7a2264d49fe7 · outbound

This paper cites Development of expert-level classiﬁcation of seizures and rhythmic and periodic patter ns during EEG interpretation,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Development of expert-level classiﬁcation of seizures and rhythmic and periodic patter ns during EEG interpretation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:13.385658Z

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Observation 1c2d2d3e-12f0-469f-b1ca-e3dd3ba4b283 · outbound

This paper cites Self-supervised EEG Representation Learning for Automatic Sleep Staging.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Self-supervised EEG Representation Learning for Automatic Sleep Staging

Reference 22

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Observation 968d62fb-3ecc-421a-96f7-d022f22de065 · outbound

This paper cites IFNet: An interactive freq uency con- volutional neural network for enhancing motor imagery deco ding from EEG,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding IFNet: An interactive freq uency con- volutional neural network for enhancing motor imagery deco ding from EEG,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:13.191204Z

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Observation 0e450bf6-461c-48ac-a9df-d3f64d0988c7 · outbound

This paper cites FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:08.012834Z

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Observation 9d24aef8-7df1-4b84-80ba-415b8e24912a · outbound

This paper cites Transformer-based Spatial-Temporal Feature Learning for EEG Decoding.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:08.107079Z

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Observation fccee73c-9e8e-4769-a310-de1502582dca · outbound

This paper cites EEG-Deformer: A dense convolutional transformer for brai n-computer interfaces,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEG-Deformer: A dense convolutional transformer for brai n-computer interfaces,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.965351Z

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Observation f4f81094-3805-4dbc-bae3-9b8415800794 · outbound

This paper cites Transfer learning for brain-computer i nterfaces: A Euclidean space data alignment approach,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Transfer learning for brain-computer i nterfaces: A Euclidean space data alignment approach,

Reference 27

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This paper cites A comprehensive survey on transfer learning,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding A comprehensive survey on transfer learning,

Reference 28

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This paper cites Br ant: Foundation model for intracranial neural signal,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Br ant: Foundation model for intracranial neural signal,

Reference 29

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This paper cites Ph ysionet: an nih research resource for complex signals,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Ph ysionet: an nih research resource for complex signals,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.589855Z

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This paper cites A large eeg database with users’ proﬁle information for motor image ry brain- computer interface research,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding A large eeg database with users’ proﬁle information for motor image ry brain- computer interface research,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.480813Z

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Observation 97baec53-41fd-4e86-8f66-c2b07ca217d5 · outbound

This paper cites Continuous sensor imotor rhythm based brain computer interface learning in a large populati on,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Continuous sensor imotor rhythm based brain computer interface learning in a large populati on,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.363412Z

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Observation 7fe63dd3-946c-4651-8b05-37ad321e846b · outbound

This paper cites EEG dataset s for motor imagery brain-computer interface,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEG dataset s for motor imagery brain-computer interface,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.203074Z

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Observation a80b7c34-90e4-4058-a903-6f15e5a1d209 · outbound

This paper cites EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:12.098889Z

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Observation 11058e14-5b80-44ff-976a-ebec983f75f3 · outbound

This paper cites M3CV: A multi-subject, multi-session, and mu lti-task database for EEG-based biometrics challenge,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding M3CV: A multi-subject, multi-session, and mu lti-task database for EEG-based biometrics challenge,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.964139Z

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Observation 580a7aad-8111-4168-8456-50514ed78670 · outbound

This paper cites Brain–computer communication: Motiva tion, aim, and impact of exploring a virtual apartment,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain–computer communication: Motiva tion, aim, and impact of exploring a virtual apartment,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.868553Z

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Observation 838a2dfd-6354-4489-a2b2-ff21245395f5 · outbound

This paper cites Review of the BCI competition IV,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Review of the BCI competition IV,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.738576Z

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Observation 2b22c796-efbc-4a08-b582-96906163db4c · outbound

This paper cites Evaluation of EEG oscillatory patterns and cognitive proc ess during simple and compound limb motor imagery,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Evaluation of EEG oscillatory patterns and cognitive proc ess during simple and compound limb motor imagery,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.601407Z

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This paper cites A fully automa ted trial selection method for optimization of motor imagery ba sed brain- computer interface,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding A fully automa ted trial selection method for optimization of motor imagery ba sed brain- computer interface,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.437761Z

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Observation d85770fe-e67b-49bf-a5a9-2970eb7f62cb · outbound

This paper cites Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset

Reference 40

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Observation bd3366ed-ac9a-4963-8c4f-885dea63ab67 · outbound

This paper cites Brain invaders ca libration- less p300-based bci using dry eeg electrodes dataset (bi201 4a),.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain invaders ca libration- less p300-based bci using dry eeg electrodes dataset (bi201 4a),

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.288624Z

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Observation 1b216023-44e7-4e6b-bbc6-38acd3e6a7ba · outbound

This paper cites Brain invaders cali bration-less p300-based bci with modulation of ﬂash duration dataset (bi 2015a),.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Brain invaders cali bration-less p300-based bci with modulation of ﬂash duration dataset (bi 2015a),

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:11.104088Z

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Observation 6e02b847-490a-4cf6-abe1-c2b48e7e4e21 · outbound

This paper cites How many people are able to co ntrol a P300-based brain–computer interface (bci)?.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding How many people are able to co ntrol a P300-based brain–computer interface (bci)?

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:10.936540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3efe60a2-db30-4103-877e-c59ccff701b6 · outbound

This paper cites An efﬁcient P300-based brain–computer interface for disabled subject s,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding An efﬁcient P300-based brain–computer interface for disabled subject s,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:10.793052Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b086ca0b-a697-43f3-961e-13acb0e3691d · outbound

This paper cites Motor imagery eeg cl assiﬁcation algorithm based on cnn-lstm feature fusion network,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Motor imagery eeg cl assiﬁcation algorithm based on cnn-lstm feature fusion network,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:10.638196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f355bcec-a816-4287-9f4f-9b596c6c4cf5 · outbound

This paper cites Transformer convolut ional neural networks for automated artifact detection in scalp eeg,.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Transformer convolut ional neural networks for automated artifact detection in scalp eeg,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:10.407372Z

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