{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/brain-computer-interface/papers/2","list_of":"/task/brain-computer-interface","task":"Brain Computer Interface","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":5,"rows_per_page":100,"rows":[101,200],"of":466,"counts":{"archive_papers_tagged":466,"with_a_code_link":112,"where_syntology_ran_a_sample":14,"not_listed_spam_title":0,"listed":466,"listed_where_code_ran":14,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/brain-computer-interface","prev":"/task/brain-computer-interface","next":"/task/brain-computer-interface/papers/3","papers":[{"url":"/paper/an-algorithm-for-onset-detection-of","slug":"an-algorithm-for-onset-detection-of","title":"An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals","date":"2020-12-11","arxiv_id":"2012.06075","repositories_listed":1,"syntology":null},{"url":"/paper/a-deep-neural-network-for-ssvep-based-brain","slug":"a-deep-neural-network-for-ssvep-based-brain","title":"A Deep Neural Network for SSVEP-based Brain-Computer Interfaces","date":"2020-11-17","arxiv_id":"2011.08562","repositories_listed":1,"syntology":null},{"url":"/paper/gcns-net-a-graph-convolutional-neural-network","slug":"gcns-net-a-graph-convolutional-neural-network","title":"GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals","date":"2020-06-16","arxiv_id":"2006.08924","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/gcns-net-a-graph-convolutional-neural-network#ran","syntology_url":"https://syntology.ai/paper/2006.08924","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.08924"}},"official":{"repos":["SuperBruceJia/EEG-DL"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/the-discriminative-kalman-filter-for-bayesian","slug":"the-discriminative-kalman-filter-for-bayesian","title":"The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models","date":"2020-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/classification-of-high-dimensional-motor","slug":"classification-of-high-dimensional-motor","title":"Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network","date":"2020-02-01","arxiv_id":"2002.00210","repositories_listed":1,"syntology":null},{"url":"/paper/tiny-noise-can-make-an-eeg-based-brain","slug":"tiny-noise-can-make-an-eeg-based-brain","title":"Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers","date":"2020-01-30","arxiv_id":"2001.11569","repositories_listed":1,"syntology":null},{"url":"/paper/heterogeneous-label-space-transfer-learning","slug":"heterogeneous-label-space-transfer-learning","title":"Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach","date":"2019-12-03","arxiv_id":"1912.01166","repositories_listed":1,"syntology":null},{"url":"/paper/toward-subject-invariant-and-class","slug":"toward-subject-invariant-and-class","title":"Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI","date":"2019-10-17","arxiv_id":"1910.07747","repositories_listed":1,"syntology":null},{"url":"/paper/recurrent-neural-networks-for-p300-based-bci","slug":"recurrent-neural-networks-for-p300-based-bci","title":"Recurrent Neural Networks for P300-based BCI","date":"2019-01-30","arxiv_id":"1901.10798","repositories_listed":1,"syntology":null},{"url":"/paper/exploring-embedding-methods-in-binary","slug":"exploring-embedding-methods-in-binary","title":"Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces","date":"2018-12-13","arxiv_id":"1812.05705","repositories_listed":1,"syntology":null},{"url":"/paper/mining-within-trial-oscillatory-brain","slug":"mining-within-trial-oscillatory-brain","title":"Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters","date":"2018-04-27","arxiv_id":"1804.10454","repositories_listed":1,"syntology":null},{"url":"/paper/feature-weighting-and-regularization-of","slug":"feature-weighting-and-regularization-of","title":"Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCI","date":"2018-04-05","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":null,"slug":"2506-10165","title":"The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset","date":"2025-06-11","arxiv_id":"2506.10165","repositories_listed":0,"syntology":null},{"url":null,"slug":"decoding-saccadic-eye-movements-from-brain","title":"Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface","date":"2025-06-09","arxiv_id":"2506.07481","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimally-invasive-brain-computer-interfaces","title":"Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG","date":"2025-06-03","arxiv_id":"2506.03452","repositories_listed":0,"syntology":null},{"url":null,"slug":"sub-scalp-eeg-for-sensorimotor-brain-computer","title":"Sub-Scalp EEG for Sensorimotor Brain-Computer Interface","date":"2025-06-03","arxiv_id":"2506.03423","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-foundation-models-for-bci-learn-diverse","title":"EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology","date":"2025-06-02","arxiv_id":"2506.01867","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-theory-to-application-fine-tuning-large","title":"From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data","date":"2025-05-29","arxiv_id":"2505.23042","repositories_listed":0,"syntology":null},{"url":null,"slug":"absolutenet-a-deep-learning-neural-network-to","title":"AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing","date":"2025-05-27","arxiv_id":"2506.00039","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-invasive-two-step-strategy-bci-brain","title":"Non-invasive two-step strategy BCI: brain-muscle-hand interface","date":"2025-05-27","arxiv_id":"2506.02013","repositories_listed":0,"syntology":null},{"url":null,"slug":"brainstratify-coarse-to-fine-disentanglement","title":"BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics","date":"2025-05-26","arxiv_id":"2505.20480","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-study-of-human-preference-based-on","title":"The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components","date":"2025-05-26","arxiv_id":"2505.19879","repositories_listed":0,"syntology":null},{"url":null,"slug":"qsvm-qnn-quantum-support-vector-machine-based","title":"QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems","date":"2025-05-20","arxiv_id":"2505.14192","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-non-invasive-brain-to-text","title":"Unlocking Non-Invasive Brain-to-Text","date":"2025-05-19","arxiv_id":"2505.13446","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-11139","title":"Covariance Density Neural Networks","date":"2025-05-16","arxiv_id":"2505.11139","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-brain-computer-interface-control-of","title":"Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback","date":"2025-04-30","arxiv_id":"2505.00219","repositories_listed":0,"syntology":null},{"url":null,"slug":"pretraining-large-brain-language-model-for","title":"Pretraining Large Brain Language Model for Active BCI: Silent Speech","date":"2025-04-29","arxiv_id":"2504.21214","repositories_listed":0,"syntology":null},{"url":null,"slug":"sub-scalp-brain-computer-interface-device","title":"Sub-Scalp Brain-Computer Interface Device Design and Fabrication","date":"2025-04-17","arxiv_id":"2504.12578","repositories_listed":0,"syntology":null},{"url":null,"slug":"siamese-network-with-dual-attention-for-eeg","title":"Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving","date":"2025-04-14","arxiv_id":"2504.10296","repositories_listed":0,"syntology":null},{"url":null,"slug":"riemannian-geometry-for-the-classification-of","title":"Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces","date":"2025-04-07","arxiv_id":"2504.05534","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimized-feature-selection-and-neural","title":"Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals","date":"2025-04-04","arxiv_id":"2504.03984","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg2gait-a-hierarchical-graph-convolutional","title":"EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding","date":"2025-04-02","arxiv_id":"2504.03757","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-fog-computing-enabled-eeg-data","title":"Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network","date":"2025-03-13","arxiv_id":"2503.09961","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-questions-of-predictability-and-control-of","title":"On Questions of Predictability and Control of an Intelligent System Using Probabilistic State-Transitions","date":"2025-03-09","arxiv_id":"2503.06374","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-biological-and-machine","title":"Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces","date":"2025-02-26","arxiv_id":"2502.19281","repositories_listed":0,"syntology":null},{"url":null,"slug":"motor-imagery-eeg-signals-multi-task","title":"Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN","date":"2025-02-26","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ssvep-bima-bifocal-masking-attention","title":"SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding","date":"2025-02-16","arxiv_id":"2502.10994","repositories_listed":0,"syntology":null},{"url":null,"slug":"isam-mtl-cross-subject-multi-task-learning","title":"ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks","date":"2025-01-30","arxiv_id":"2501.18089","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-dual-filter-fuzzy-neural","title":"Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces","date":"2025-01-29","arxiv_id":"2502.17445","repositories_listed":0,"syntology":null},{"url":null,"slug":"easing-seasickness-through-attention","title":"Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface","date":"2025-01-15","arxiv_id":"2501.08518","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-probabilistic-inference-of-human","title":"Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface","date":"2025-01-09","arxiv_id":"2501.05610","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-language-image-prior-into-eeg","title":"Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI","date":"2025-01-06","arxiv_id":"2501.02841","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-ai-teaming-using-large-language-models","title":"Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research","date":"2024-12-30","arxiv_id":"2501.01451","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-count-of-optically-pumped-magnetometers","title":"Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm","date":"2024-12-24","arxiv_id":"2412.18353","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-species-and-cross-modality-epileptic","title":"Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment","date":"2024-12-18","arxiv_id":"2412.17842","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-robust-and-privacy-preserving-brain","title":"A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding","date":"2024-12-16","arxiv_id":"2412.11390","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-gmacn-interpretable-eeg-graph-mutual","title":"EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network","date":"2024-12-15","arxiv_id":"2412.17834","repositories_listed":0,"syntology":null},{"url":null,"slug":"imagined-speech-state-classification-for","title":"Imagined Speech State Classification for Robust Brain-Computer Interface","date":"2024-12-15","arxiv_id":"2412.12215","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-with-active-sampling-for","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","date":"2024-12-14","arxiv_id":"2412.17833","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-feature-engineering-techniques-for","title":"Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems","date":"2024-12-10","arxiv_id":"2412.07175","repositories_listed":0,"syntology":null},{"url":null,"slug":"channel-reflection-knowledge-driven-data","title":"Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces","date":"2024-12-04","arxiv_id":"2412.03224","repositories_listed":0,"syntology":null},{"url":null,"slug":"bi-band-ecognet-for-ecog-decoding-on","title":"Bi-Band ECoGNet for ECoG Decoding on Classification Task","date":"2024-11-30","arxiv_id":"2412.00378","repositories_listed":0,"syntology":null},{"url":null,"slug":"protecting-multiple-types-of-privacy","title":"Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces","date":"2024-11-29","arxiv_id":"2411.19498","repositories_listed":0,"syntology":null},{"url":"/paper/areeg-words-dataset-for-envisioned-speech","slug":"areeg-words-dataset-for-envisioned-speech","title":"ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words","date":"2024-11-28","arxiv_id":"2411.18888","repositories_listed":0,"syntology":null},{"url":null,"slug":"decoding-imagined-movement-in-people-with","title":"Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation","date":"2024-11-28","arxiv_id":"2411.18916","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-prototyping-with-domain-and-class","title":"Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions","date":"2024-11-27","arxiv_id":"2412.00082","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-personalized-brain-computer-interface","title":"Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms","date":"2024-11-18","arxiv_id":"2411.11302","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-neural-communication-convergence-of","title":"Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface","date":"2024-11-14","arxiv_id":"2411.09211","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-based-speech-decoding-a-novel-approach","title":"EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models","date":"2024-11-14","arxiv_id":"2411.09302","repositories_listed":0,"syntology":null},{"url":null,"slug":"imagined-speech-and-visual-imagery-as","title":"Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces","date":"2024-11-14","arxiv_id":"2411.09400","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-unified-neural-decoding-of-perceived","title":"Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals","date":"2024-11-14","arxiv_id":"2411.09243","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-continual-eeg-decoding-framework","title":"Personalized Continual EEG Decoding: Retaining and Transferring Knowledge","date":"2024-11-04","arxiv_id":"2411.11874","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-wise-perturbations-for-user-identity","title":"User-wise Perturbations for User Identity Protection in EEG-Based BCIs","date":"2024-11-04","arxiv_id":"2411.10469","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-via-dynamic-graph-based","title":"Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals","date":"2024-10-31","arxiv_id":"2411.09709","repositories_listed":0,"syntology":null},{"url":null,"slug":"neurophysiological-analysis-in-motor-and","title":"Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination","date":"2024-10-31","arxiv_id":"2411.05811","repositories_listed":0,"syntology":null},{"url":null,"slug":"spdim-source-free-unsupervised-conditional","title":"SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG","date":"2024-10-26","arxiv_id":"2411.07249","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-based-90-degree-turn-intention-detection","title":"EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface","date":"2024-10-15","arxiv_id":"2410.11339","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-based-ai-bci-wheelchair-advancement-a","title":"EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach","date":"2024-10-13","arxiv_id":"2410.09763","repositories_listed":0,"syntology":null},{"url":null,"slug":"source-data-selection-for-brain-computer","title":"Source Data Selection for Brain-Computer Interfaces based on Simple Features","date":"2024-10-03","arxiv_id":"2410.02360","repositories_listed":0,"syntology":null},{"url":null,"slug":"am-mteeg-multi-task-eeg-classification-based","title":"AM-MTEEG: Multi-task EEG classification based on impulsive associative memory","date":"2024-09-27","arxiv_id":"2409.18375","repositories_listed":0,"syntology":null},{"url":null,"slug":"method-for-evaluating-the-number-of-signal","title":"Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface","date":"2024-09-26","arxiv_id":"2410.11844","repositories_listed":0,"syntology":null},{"url":null,"slug":"translating-mental-imaginations-into","title":"Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding","date":"2024-09-25","arxiv_id":"2409.16816","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-eeg-signal-generation-through-a","title":"Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models","date":"2024-09-14","arxiv_id":"2410.00013","repositories_listed":0,"syntology":null},{"url":null,"slug":"see-semantically-aligned-eeg-to-text","title":"SEE: Semantically Aligned EEG-to-Text Translation","date":"2024-09-14","arxiv_id":"2409.16312","repositories_listed":0,"syntology":null},{"url":null,"slug":"art-artifact-removal-transformer-for","title":"ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals","date":"2024-09-11","arxiv_id":"2409.07326","repositories_listed":0,"syntology":null},{"url":null,"slug":"research-advances-and-new-paradigms-for","title":"Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks","date":"2024-08-26","arxiv_id":"2408.13996","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-device-learning-of-eegnet-based-network","title":"On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface","date":"2024-08-25","arxiv_id":"2409.00083","repositories_listed":0,"syntology":null},{"url":null,"slug":"emotion-agent-unsupervised-deep-reinforcement","title":"Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis","date":"2024-08-22","arxiv_id":"2408.12121","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-right-left-voluntary-hand-movement-based","title":"EEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach","date":"2024-08-18","arxiv_id":"2409.00035","repositories_listed":0,"syntology":null},{"url":null,"slug":"decoding-linguistic-representations-of-human","title":"Decoding Linguistic Representations of Human Brain","date":"2024-07-30","arxiv_id":"2407.20622","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-does-a-single-eeg-channel-tell-us-about","title":"How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?","date":"2024-07-23","arxiv_id":"2407.16249","repositories_listed":0,"syntology":null},{"url":null,"slug":"l-sort-an-efficient-hardware-for-real-time","title":"L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization","date":"2024-06-26","arxiv_id":"2406.18425","repositories_listed":0,"syntology":null},{"url":null,"slug":"esi-gal-eeg-source-imaging-based-kinematics","title":"ESI-GAL: EEG Source Imaging-based Trajectory Estimation for Grasp and Lift Task","date":"2024-06-17","arxiv_id":"2406.11500","repositories_listed":0,"syntology":null},{"url":null,"slug":"get-a-generative-eeg-transformer-for","title":"GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals","date":"2024-06-05","arxiv_id":"2406.03115","repositories_listed":0,"syntology":null},{"url":null,"slug":"beware-of-overestimated-decoding-performance","title":"Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals","date":"2024-05-27","arxiv_id":"2405.17024","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-performance-p300-spellers-using-gpt2","title":"High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training","date":"2024-05-22","arxiv_id":"2405.13329","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuroassist-enhancing-cognitive-computer","title":"NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification","date":"2024-05-17","arxiv_id":"2406.01600","repositories_listed":0,"syntology":null},{"url":null,"slug":"jneeg-shield-for-jetson-nano-for-real-time","title":"JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning","date":"2024-05-14","arxiv_id":"2405.09575","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg2text-open-vocabulary-eeg-to-text-decoding","title":"EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer","date":"2024-05-03","arxiv_id":"2405.02165","repositories_listed":0,"syntology":null},{"url":null,"slug":"precision-enhancement-in-sustained-visual","title":"Precision Enhancement in Sustained Visual Attention Training Platforms: Offline EEG Signal Analysis for Classifier Fine-Tuning","date":"2024-05-03","arxiv_id":"2405.02422","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-brain-computer-interface","title":"Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization","date":"2024-04-26","arxiv_id":"2405.00721","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-thoughts-a-review-of-advancements","title":"Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text","date":"2024-04-26","arxiv_id":"2405.00726","repositories_listed":0,"syntology":null},{"url":null,"slug":"mindarm-mechanized-intelligent-non-invasive","title":"MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System","date":"2024-03-29","arxiv_id":"2403.19992","repositories_listed":0,"syntology":null},{"url":null,"slug":"psychometry-an-omnifit-model-for-image","title":"Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity","date":"2024-03-29","arxiv_id":"2403.20022","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-bci-models-from-calibration-to","title":"Transferring BCI models from calibration to control: Observing shifts in EEG features","date":"2024-03-14","arxiv_id":"2403.15431","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-informed-and-unsupervised-riemannian","title":"Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets","date":"2024-03-07","arxiv_id":"2403.15415","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporal-pooling-on-appropriate","title":"Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification","date":"2024-03-07","arxiv_id":"2403.04353","repositories_listed":0,"syntology":null},{"url":null,"slug":"fingernet-eeg-decoding-of-a-fine-motor","title":"FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network","date":"2024-03-06","arxiv_id":"2403.03526","repositories_listed":0,"syntology":null},{"url":null,"slug":"stimulation-technology-for-brain-and-nerves","title":"Stimulation technology for brain and nerves, now and future","date":"2024-02-29","arxiv_id":"2402.18808","repositories_listed":0,"syntology":null},{"url":"/paper/areeg-chars-dataset-for-envisioned-speech","slug":"areeg-chars-dataset-for-envisioned-speech","title":"ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters","date":"2024-02-24","arxiv_id":"2402.15733","repositories_listed":0,"syntology":null}],"record_sha256":"185387058346467bf271479dcf8e6c944eeef64142e0594475575694e1253793","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}