Results 21 to 30 of about 29,428 (264)
IEEE Transactions on Neural Systems and Rehabilitation EngineeringObjective: Effective cross-subject decoding is essential for reducing calibration time and enhancing the practical usability of brain-computer interfaces (BCIs).
Yuxuan Wei +5 more
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Frontiers in Neuroscience, 2022 ObjectiveMulti-frequency steady-state visual evoked potential (SSVEP) stimulation and decoding methods enable the representation of a large number of visual targets in brain-computer interfaces (BCIs).
Jing Mu +6 more
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IEEE Transactions on Neural Systems and Rehabilitation EngineeringMotor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy, real-time ...
Sixiong Ke +5 more
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Systematic biases in human heading estimation. [PDF]
, 2013 Heading estimation is vital to everyday navigation and locomotion. Despite extensive behavioral and physiological research on both visual and vestibular heading estimation over more than two decades, the accuracy of heading estimation has not yet been ...
MacNeilage, Paul R. +7 more
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Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Dynamic decoding of ongoing perception
, 2011 Contains fulltext : 93591.pdf (Publisher’s version ) (Open Access)Decoding of perceptual and mental states using multivariate analysis methods has received much recent attention.
Marcel A.J. van Gerven +7 more
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HSST-EEG: A Hybrid State-Space and Transformer Architecture for EEG Decoding
IEEE AccessAccurate interpretation of electroencephalography (EEG) signals requires effective modeling of high-dimensional, non-stationary, and long-range spatio-temporal dynamics, which remains a central challenge in both clinical and BCI-oriented decoding tasks ...
Emil Kim, Jin Kyu Gahm
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Cognitive computing method based on decoding psychological emotional states
International Journal of Cognitive Computing in EngineeringThe current artificial intelligence is constrained to passively executing human command control. It cannot perceive, learn, and guide itself. Furthermore, the majority of these systems are unable to comprehend the human psychological cognitive state or ...
Baihui Huangfu, Wenjuan Cheng
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