Progress in Brain Computer Interfaces: Challenges and Trends
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Abstract (arXiv)
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming and artificial intelligence. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and nonlinear brain dynamics and related feature extraction and classification challenges. Psycho-neurophysiological phenomena and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes progress in BCI field and highlights critical challenges.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jan 2019.
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Citing papers per year: 2023: 3; 2024: 4; 2025: 3; 2026: 3.
13 papers.
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- 2023UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human languagecited by 22
- 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Datacited by 5
- 2024A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confoundscited by 3
- 2024A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systemscited by 2
- 2023Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Papercited by 1
- 2024Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Datacited by 1
- 2026Statistical Opportunities in Neuroimagingcited by 1
- 2023Unifying Consciousness and Time to Enhance Artificial Intelligencecited by 0
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decodingcited by 0
- 2025Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding Systemcited by 0
- 2025Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decodingcited by 0
- 2026Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoderscited by 0
- 2026Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space24 Jul 2026
- 2026Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders23 Jun 2026
- 2026Statistical Opportunities in Neuroimaging13 Feb 2026
- 2025Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding2 Dec 2025
- 2025Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System11 Nov 2025
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding9 Mar 2025
- 2024Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data14 Dec 2024
- 2024A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds13 May 2024
- 2024A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems31 Jan 2024
- 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data3 Jan 2024
- 2023UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language6 Jul 2023
- 2023Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper5 Jun 2023
1 more
- 2023UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human languagecited by 22
- 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Datacited by 5
- 2024A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confoundscited by 3
- 2024A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systemscited by 2
- 2023Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Papercited by 1
- 2024Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Datacited by 1
- 2026Statistical Opportunities in Neuroimagingcited by 1
- 2023Unifying Consciousness and Time to Enhance Artificial Intelligencecited by 0
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decodingcited by 0
- 2025Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding Systemcited by 0
- 2025Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decodingcited by 0
- 2026Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoderscited by 0
12 most cited of 13 All 13 (JSON)
- 2026Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space24 Jul 2026
- 2026Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders23 Jun 2026
- 2026Statistical Opportunities in Neuroimaging13 Feb 2026
- 2025Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding2 Dec 2025
- 2025Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System11 Nov 2025
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding9 Mar 2025
- 2024Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data14 Dec 2024
- 2024A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds13 May 2024
- 2024A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems31 Jan 2024
- 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data3 Jan 2024
- 2023UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language6 Jul 2023
- 2023Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper5 Jun 2023
12 newest of 13 All 13 (JSON)