MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models

Συγγραφείς: Liu, Jiaxiang, Du, Jiawei, Chen, Xupeng, Li, Guoqi, Cai, Jiang, Fong, Simon, Xu, Mingkun

Πηγή: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :11456-11467

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3770855.3818949

Certificate-Governed CRT Sparse FFT: Verified Global-Label Candidate Construction under Explicit Decoding Models

Συγγραφείς: Flouro, Aaron R., Chadwick, Shawn P.

Θεματικοί όροι: Signal Processing, Data Structures and Algorithms, 65T50, 68W40, F.2.1

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2609.34086

Attention Drift: What Autoregressive Speculative Decoding Models Learn

Συγγραφείς: Eldenk, Doğaç, Mohapatra, Payal, Comlek, Yigitcan, Oktay, Kaan, Zhang, Hongyang, Xia, Stephen

Θεματικοί όροι: Machine Learning, Artificial Intelligence, I.2.7

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2605.09992

Speech brain–computer interfaces for communication rehabilitation: State‐of‐the‐art decoding models, clinical applications, and ethical challenges

Συγγραφείς: Desta Yakob Doda, Runnan He, Meijun Pang, Yulin Sun, Chunyang Li, Faheem Anwar, Abi Yasi, Rui Jiang, Wenlong Wang, Dong Ming, Xiuyun Liu

Πηγή: Journal of Intelligent Medicine. 2:122-133

See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI

Συγγραφείς: Yulong Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, Nanning Zheng 0001

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 39:5730-5738

Encoding and decoding models

Συγγραφείς: Senden, Mario, Kroner, Alexander

Πηγή: Encyclopedia of the Human Brain ISBN: 9780128204818

Θεματικοί όροι: Multi-stage models, Nonlinear models, Mechanistic models, Algorithmic models, Decoding models, Single-stage models, Process models, Neural information processing, Linking models, Neural representations, Encoding models, Preferred-input models, Probabilistic models, Linear models, Model inversion

Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions

Συγγραφείς: Daniel Agostinho, Davide Borra, Miguel Castelo-Branco, Marco Simões

Πηγή: Lecture Notes in Computer Science ISBN: 9783031734991

Θεματικοί όροι: Decoding models, Explainability, fMRI, fMRINet, Interpretability

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11585/1006344
https://link.springer.com/chapter/10.1007/978-3-031-73500-4_24
https://doi.org/10.1007/978-3-031-73500-4_24

Robust sound target detection based on encoding and decoding models between sound and EEG signals

Συγγραφείς: Xu, Xinbo, Liu, Ying, Shi, Jianting, Wang, Jiaqi, Feleke, Aberham Genetu, Fei, Weijie, Bi, Luzheng ^⁎

Πηγή: In Expert Systems With Applications 25 March 2025 266

Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCI.

Additional Titles: Code-modulated visual evoked-potential (c-VEP) based reactive brain-computer interfaces (BCIs) deliver high information-transfer rates with minimal calibration, yet performance often collapses when models are transferred between users. We therefore pursue a two-fold aim: first, to pinpoint neurophysiological predictors that explain this inter-participant variability; second, to identify a decoding pipeline that sustains accuracy across users in a burst-c-VEP paradigm (brief, aperiodic flashes at 3 Hz). From 24 participants we find that stronger inter-epoch correlation (R≈0.80), larger peak-to-peak amplitude of the flash-VEP, larger α bandpower, larger θ bandpower and lower δ bandpower are 5 neurophysiological predictors that correlates between high performers (>90% accuracy) and low performers (<70%), enabling a 22s 'go/no-go' calibration. We then compare three preprocessing schemes (small, combined, participant-specific) paired with three decoders - a convolutional neural network, a Riemannian xDAWN-LDA baseline, and GREEN, a wavelet-based symmetric positive definite neural network. Subject-specific alignment plus GREEN achieves 93% trial-level accuracy in both intra- and cross-participant settings, eliminating the 15-20% transfer loss obtained with the other tested decoding models while keeping the total calibration under one minute. In conclusion, rapid user screening with these neurophysiological predictors, followed by this lightweight, user-specific pipeline, yields burst-c-VEP control that is fast to deploy and robust across individuals.

Συγγραφείς: Velut, S.R.H.

Θέματα: 180 000 Predictive Brain., Cognitive artificial intelligence.

Όροι ευρετηρίου: Article / Letter to editor.

Σύνδεσμος: https://hdl.handle.net/2066/329625
https://doi.org/10.1162/IMAG.a.1172

Feature Attribution-Based Explanation Comparison of Magnetoencephalography Decoding Models

Συγγραφείς: Yongdong Fan, Qiong Li, Haokun Mao, Xingyuan Song

Πηγή: Lecture Notes in Computer Science ISBN: 9789819500291

Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretation

Συγγραφείς: Sachdeva, Pratik S. ^{a, b, c}, Livezey, Jesse A. ^{a, c}, Dougherty, Maximilian E. ^c, Gu, Bon-Mi ^d, Berke, Joshua D. ^{d, e}, Bouchard, Kristofer E. ^{a, c, f, g}

Πηγή: In Journal of Neuroscience Methods 1 July 2021 358

Music can be reconstructed from human auditory cortex activity using nonlinear decoding models

Συγγραφείς: Bellier, Ludovic, Llorens, Anaïs, Marciano, Déborah, Gunduz, Aysegul, Schalk, Gerwin, Brunner, Peter, Knight, Robert T

Πηγή: PLOS Biology. 21(8)

Θεματικοί όροι: 30 Agricultural, Veterinary and Food Sciences (for-2020), 31 Biological Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), Neurosciences (rcdc), Humans (mesh), Auditory Cortex (mesh), Music (mesh), Brain Mapping (mesh), Auditory Perception (mesh), Temporal Lobe (mesh), Acoustic Stimulation (mesh), Temporal Lobe (mesh), Auditory Cortex (mesh), Humans (mesh), Acoustic Stimulation (mesh), Brain Mapping (mesh), Auditory Perception (mesh), Music (mesh), Humans (mesh), Auditory Cortex (mesh), Music (mesh), Brain Mapping (mesh), Auditory Perception (mesh), Temporal Lobe (mesh), Acoustic Stimulation (mesh), 06 Biological Sciences (for), 07 Agricultural and Veterinary Sciences (for), 11 Medical and Health Sciences (for), Developmental Biology (science-metrix), 30 Agricultural, veterinary and food sciences (for-2020), 31 Biological sciences (for-2020), 32 Biomedical and clinical sciences (for-2020)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://escholarship.org/uc/item/4ms6t5cv
https://escholarship.org/content/qt4ms6t5cv/qt4ms6t5cv.pdf

Interpreting Encoding and Decoding Models

Συγγραφείς: Kriegeskorte, Nikolaus, Douglas, Pamela K.

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/1812.00278

Interpreting encoding and decoding models

Συγγραφείς: Kriegeskorte, Nikolaus ¹, Douglas, Pamela K ²

Πηγή: In Current Opinion in Neurobiology April 2019 55:167-179

What Robustness Evaluation Is Needed Toward Practical Usage of EEG Decoding Models?

Συγγραφείς: Wang, Jingyuan, Li, Junhua

Θεματικοί όροι: ZR Rights Retention

Περιγραφή αρχείου: text

Relation: https://repository.essex.ac.uk/43231/1/What%20Robustness%20Evaluation%20Is%20Needed%20Toward%20Practical%20Usage%20of%20EEG%20Decoding%20Models%3F.pdf; Wang, Jingyuan and Li, Junhua (2026) What Robustness Evaluation Is Needed Toward Practical Usage of EEG Decoding Models? In: The 48th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2026-07-26 - 2026-07-30, Toronto, Canada. (In Press)

Διαθεσιμότητα: https://repository.essex.ac.uk/43231/
https://repository.essex.ac.uk/43231/1/What%20Robustness%20Evaluation%20Is%20Needed%20Toward%20Practical%20Usage%20of%20EEG%20Decoding%20Models%3F.pdf

Decoding models: From brain representation to machine interfaces

Συγγραφείς: Yu Takagi, Shinji Nishimoto

Πηγή: Computational and Network Modeling of Neuroimaging Data ISBN: 9780443134807

Causal interpretation rules for encoding and decoding models in neuroimaging

Συγγραφείς: Weichwald, Sebastian ^{a, ⁎}, Meyer, Timm ^a, Özdenizci, Ozan ^b, Schölkopf, Bernhard ^a, Ball, Tonio ^c, Grosse-Wentrup, Moritz ^a

Πηγή: In NeuroImage 15 April 2015 110:48-59

Decoder design and decoding models for joint source-network coding

Συγγραφείς: Cruz, Susana Pereira Bulas

Θεματικοί όροι: Codificação em redes, Descodificação

Περιγραφή αρχείου: application/pdf

Διαθεσιμότητα: http://hdl.handle.net/10216/62125

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models

Συγγραφείς: Pedregosa, Fabian, Eickenberg, Michael, Thirion, Bertrand, Gramfort, Alexandre

Πηγή: 2013 International Workshop on Pattern Recognition in Neuroimaging Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on. :165-169 Jun, 2013

Relation: 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI)

A Learning Scheme for Reach to Grasp Movements: On EMG-Based Interfaces Using Task Specific Motion Decoding Models

Συγγραφείς: Liarokapis, M. V., Artemiadis, P. K., Kyriakopoulos, K. J., Manolakos, E. S.

Πηγή: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 17(5):915-921 Sep, 2013